diff --git a/README.md b/README.md
index 97d6ee35..49435588 100644
--- a/README.md
+++ b/README.md
@@ -203,7 +203,7 @@ to your desired specification.
 [cucumber_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/cucumber_disease_classification.md) | Image Classification | 7689 |
 [iNatAg](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/iNatAg.md) | Image Classification | 4720903 |
 [iNatAg-mini](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/iNatAg-mini.md) | Image Classification | 560844 |
-
+[soybean_insect_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/soybean_insect_classification.md) | Image Classification | 6410 |
 
 ## iNatAg and iNatAg-mini
 
@@ -218,6 +218,7 @@ loader = agml.data.AgMLDataLoader.from_parent("iNatAg", filters={"family_name":
 loader = agml.data.AgMLDataLoader.from_parent("iNatAg", filters={"common_name": "..."})
 ```
 
+
 ## Usage Information
 
 ### Using Public Agricultural Data
@@ -248,5 +249,4 @@ a bug or feature that you would like to see implemented, please don't hesitate t
 See the [contributing guidelines](/CONTRIBUTING.md) for more information.
 
 ## Funding
-This project is partly funded by the [National AI Institute for Food Systems](https://aifs.ucdavis.edu).
-
+This project is partly funded by the [National AI Institute for Food Systems](https://aifs.ucdavis.edu).
\ No newline at end of file
diff --git a/agml/_assets/public_datasources.json b/agml/_assets/public_datasources.json
index 1bad4b46..d7c3660b 100644
--- a/agml/_assets/public_datasources.json
+++ b/agml/_assets/public_datasources.json
@@ -1057,6 +1057,11 @@
             "continent": "worldwide",
             "country": "worldwide"
         },
+        "sensor_modality": "rgb",
+        "real_synthetic": "real",
+        "platform": "handheld/ground",
+        "input_data_format": "jpg",
+        "annotation_format": "image",
         "n_images": "42",
         "docs_url": "https://data.nal.usda.gov/dataset/data-multi-species-fruit-flower-detection-using-refined-semantic-segmentation-network",
         "external_image_sources": [],
@@ -2462,5 +2467,40 @@
         },
         "parent_dataset": "",
         "extra_metadata": {}
+    },
+    "soybean_insect_classification": {
+        "ml_task": "image_classification",
+        "ag_task": "pest_classification",
+        "location": {
+            "continent": "south_america",
+            "country": "brazil"
+        },
+        "sensor_modality": "rgb",
+        "real_synthetic": "real",
+        "platform": "uav",
+        "input_data_format": "jpg",
+        "annotation_format": "directory_names",
+        "n_images": "6410",
+        "docs_url": "https://data.mendeley.com/datasets/bycbh73438/1",
+        "classes": {
+            "0": "Caterpillar",
+            "1": "Diabrotica_speciosa",
+            "2": "Healthy"
+        },
+        "external_image_sources": [],
+        "parent_dataset": "",
+        "extra_metadata": {},
+        "stats": {
+            "mean": [
+                0.4129256308078766,
+                0.515846848487854,
+                0.3347107470035553
+            ],
+            "std": [
+                0.22007715702056885,
+                0.22993944585323334,
+                0.20302338898181915
+            ]
+        }
     }
 }
\ No newline at end of file
diff --git a/agml/_assets/shape_info.pickle b/agml/_assets/shape_info.pickle
index 15d242e2..daa39277 100644
Binary files a/agml/_assets/shape_info.pickle and b/agml/_assets/shape_info.pickle differ
diff --git a/agml/_assets/source_citations.json b/agml/_assets/source_citations.json
index d3851aae..2bea6b79 100644
--- a/agml/_assets/source_citations.json
+++ b/agml/_assets/source_citations.json
@@ -262,5 +262,9 @@
     "cucumber_disease_classification": {
         "license": "CC BY 4.0",
         "citation": "Sultana, Nusrat; Shorif, Sumaita Binte ; Akter, Morium ; Uddin, Mohammad Shorif  (2022), “Cucumber Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/y6d3z6f8z9.1"
+    },
+    "soybean_insect_classification": {
+        "license": "CC BY 4.0",
+        "citation": "Mignoni, Maria Eloisa (2021), “Images of Soybean Leaves”, Mendeley Data, V1, doi: 10.17632/bycbh73438.1"
     }
 }
\ No newline at end of file
diff --git a/agml/_internal/preprocess.py b/agml/_internal/preprocess.py
index 0126022d..b501cb42 100644
--- a/agml/_internal/preprocess.py
+++ b/agml/_internal/preprocess.py
@@ -1585,6 +1585,9 @@ def sunflower_disease_classification(self, dataset_name):
     def cucumber_disease_classification(self, dataset_name):
         pass
 
+    def soybean_insect_classification(self, dataset_name):
+        pass
+
 if __name__ == '__main__':
     # Initialize program arguments.
     ap = argparse.ArgumentParser()
diff --git a/agml/data/metadata.py b/agml/data/metadata.py
index 0ce087a3..9362c919 100644
--- a/agml/data/metadata.py
+++ b/agml/data/metadata.py
@@ -19,6 +19,9 @@
 from typing import Iterable
 
 import yaml
+from rich.console import Console
+from rich.table import Table
+
 
 import agml.utils.logging as logging
 from agml.framework import AgMLSerializable
@@ -280,12 +283,12 @@ def summary(self):
         as `print(loader.info.summary())`, just `loader.info.summary()`.
         """
 
-        def _bold(msg):
-            return "\033[1m" + msg + "\033[0m"
+        console = Console()
 
-        def _bold_yaml(msg):  # noqa
-            return "<|>" + msg + "<|>"
+        table = Table(title="Dataset Summary")
 
+        table.add_column("Attribute", justify="right", style="bold cyan")
+        table.add_column("Value", justify="left", style="bold white")
         _SWITCH_NAMES = {
             "ml_task": "Machine Learning Task",
             "ag_task": "Agricultural Task",
@@ -294,7 +297,6 @@ def _bold_yaml(msg):  # noqa
             "docs_url": "Documentation",
         }
 
-        formatted_metadata = {}
         for key, value in self._metadata.items():
             name = key.replace("_", " ").title()
             if key in _SWITCH_NAMES.keys():
@@ -303,18 +305,10 @@ def _bold_yaml(msg):  # noqa
                 value = {int(k): v for k, v in value.items()}
             if name == "Number of Images":
                 value = int(value)
-            formatted_metadata[_bold_yaml(name)] = value
-
-        stream = io.StringIO()
-        yaml.dump(formatted_metadata, stream, sort_keys=False)
-        content = stream.getvalue()
-        content = re.sub("<\\|>(.*?)<\\|>", _bold(r"\1"), content)
-        header = "=" * 20 + " DATASET SUMMARY " + "=" * 20
-        print(header)
-        print(_bold("Name") + f": {self._name}")
-        print(content, end="")
-        print("=" * 57)
-        sys.stdout.flush()
+
+            table.add_row(name, f"{value}")
+
+        console.print(table)
 
     def citation_summary(self):
         """Prints out a summary of the citation information of the dataset.
diff --git a/agml/data/public.py b/agml/data/public.py
index a4cac309..9de10609 100644
--- a/agml/data/public.py
+++ b/agml/data/public.py
@@ -14,6 +14,7 @@
 
 import functools
 
+from rich.console import Console
 import numpy as np
 
 from agml.backend.config import data_save_path
@@ -122,8 +123,30 @@ def _matches(self, meta, filters):
                     return False
         return True
 
-    def print_result(self):
-        return "[%s]" % ", ".join(self._current_filtered_source)
+    def __repr__(self):
+        """Prints a formatted table of the filtered datasets using rich."""
+
+        console = Console()
+        if not self._current_filtered_source:
+            console.print("[bold yellow]No datasets found matching the criteria.[/]")
+            return
+
+        table = Table(title="Filtered Datasets")
+        table.add_column("Dataset Name", style="cyan")
+        table.add_column("ML Task")
+        table.add_column("Location")
+        table.add_column("# Images")
+
+        for source_name in self._current_filtered_source:
+            meta = self._sources[source_name]
+            table.add_row(
+                source_name,
+                meta.get("ml_task", "N/A"),  # Handle missing 'ml_task'
+                f"{meta['location']['continent']}, {meta['location']['country']}" if "location" in meta else "N/A",
+                str(meta.get("n_images", "N/A")),  # prints N/A if number of images are not there.
+            )
+
+        console.print(table)
 
     def result(self):
         """Returns the filtered datasets as DatasetMetadata objects.
diff --git a/agml/utils/data.py b/agml/utils/data.py
index 4d40236c..2542628a 100644
--- a/agml/utils/data.py
+++ b/agml/utils/data.py
@@ -19,6 +19,10 @@
 import shutil
 import sys
 
+from rich.console import Console
+from rich.panel import Panel
+from rich.text import Text
+
 
 @functools.lru_cache(maxsize=None)
 def load_public_sources() -> dict:
@@ -98,67 +102,106 @@ def maybe_you_meant(name, msg, source=None) -> str:
 def copyright_print(name, location=None):
     """Prints out license/copyright info after a dataset download."""
     content = load_citation_sources()[name]
-    license = content["license"]  # noqa
+    license_info = content["license"]  # noqa
     citation = content["citation"]
 
-    def _bold(msg):  # noqa
-        return "\033[1m" + msg + "\033[0m"
+    # Construct the title text
+    title_text = Text(f"Dataset: {name}", style="bold cyan")
 
-    if location is None:
-        first_msg = "Citation information for " + _bold(name) + ".\n"
+    if location is not None:
+        location_text = Text.assemble(("You have just downloaded ", "bold cyan"), (name, "green"))
     else:
-        first_msg = "You have just downloaded " + _bold(name) + ".\n"
+        location_text = Text.assemble(("Citation information for", "bold cyan"), (name, "green"))
 
     _LICENSE_TO_URL = {
-        'CC BY-SA 4.0': 'https://creativecommons.org/licenses/by-sa/4.0/',
-        'CC BY-SA 3.0': 'https://creativecommons.org/licenses/by-sa/3.0/',
-        'CC BY-NC 3.0': 'https://creativecommons.org/licenses/by-nc/3.0/',
-        'CC BY-NC SA 3.0': 'https://creativecommons.org/licenses/by-nc/3.0/',
-        'MIT': 'https://opensource.org/licenses/MIT',
-        'GPL-3.0': 'https://opensource.org/licenses/GPL-3.0',
-        'US Public Domain': 'https://www.usa.gov/government-works',
-        'CC0: Public Domain': 'https://creativecommons.org/publicdomain/zero/1.0/',
-        'Apache 2.0': 'https://www.apache.org/licenses/LICENSE-2.0',
+        "CC BY-SA 4.0": "https://creativecommons.org/licenses/by-sa/4.0/",
+        "CC BY-SA 3.0": "https://creativecommons.org/licenses/by-sa/3.0/",
+        "CC BY-NC 3.0": "https://creativecommons.org/licenses/by-nc/3.0/",
+        "CC BY-NC SA 3.0": "https://creativecommons.org/licenses/by-nc/3.0/",
+        "CC BY-NC-SA 4.0": "https://creativecommons.org/licenses/by-nc/4.0/",
+        "MIT": "https://opensource.org/licenses/MIT",
+        "GPL-3.0": "https://opensource.org/licenses/GPL-3.0",
+        "US Public Domain": "https://www.usa.gov/government-works",
+        "CC0: Public Domain": "https://creativecommons.org/publicdomain/zero/1.0/",
+        "Apache 2.0": "https://www.apache.org/licenses/LICENSE-2.0",
         'CC BY-NC 4.0': 'https://creativecommons.org/licenses/by-nc/4.0/',
         'CC BY-NC-SA 4.0': 'https://creativecommons.org/licenses/by-nc-sa/4.0/',
-        'CC BY 4.0': 'https://creativecommons.org/licenses/by/4.0/deed.en'}
-    if license == '':
-        license_msg = "This dataset has " \
-                      + _bold("no license") + ".\n"
-    else:
-        license_msg = "This dataset is licensed under the " + _bold(license) + " license.\n"
-        license_msg += "To learn more, visit: " + _LICENSE_TO_URL[license] + "\n"
+        'CC BY 4.0': 'https://creativecommons.org/licenses/by/4.0/deed.en'
+    }
 
+    # Create license message
+    if not license_info:  # Handle empty license
+        license_msg = Text("License: None specified", style="yellow")
+    else:
+        license_msg = Text.assemble(("This dataset is licensed under ", "bold cyan"), (f"{license_info}", "green"))
+        if license_info in _LICENSE_TO_URL:
+            license_more_info = Text(" To learn more about this license, visit ", style="bold cyan")
+            license_url = Text(f"{_LICENSE_TO_URL[license_info]}", justify="center", style="white")
+        else:
+            license_more_info = ""
+            license_url = ""
+
+    # Create citation message
     if citation == "":
-        citation_msg = "This dataset has no associated citation."
+        citation_msg = Text("This dataset has no associated citation.", style="yellow")
+        citation_url = ""
     else:
-        citation_msg = "When using this dataset, please cite the following:\n\n"
-        citation_msg += citation
+        citation_msg = (Text("When using this dataset, please cite the following: \n", style="bold cyan"),)
+        citation_url = Text(citation, justify="center", style="white")
 
+    # Dataset documentation message
     docs = load_public_sources()[name]["docs_url"]
-    docs_msg = "\nYou can find additional information about " "this dataset at:\n" + docs
-
-    columns = shutil.get_terminal_size((80, 24)).columns
-    max_print_length = max(
-        min(
-            columns,
-            max([len(i) for i in [*citation_msg.split("\n"), *license_msg.split("\n")]]),
+    docs_msg = Text("You can find additional information about this dataset at: ", style="bold  cyan")
+    docs_url = Text(docs, justify="center", style="white")
+
+    combined_message = Text.assemble(
+        title_text,
+        "\n\n",
+        location_text,
+        "\n\n",
+        license_msg,
+        " ",
+        license_more_info,
+        license_url,
+        "\n\n",
+        citation_msg,
+        citation_url,
+        "\n\n",
+        docs_msg,
+        docs_url,
+    )
+    console = Console()
+
+    # Create and print the rich Panel
+    panel = Panel(
+        combined_message,
+        title="Copyright, Citation, and Documenation Information",
+        subtitle=title_text,
+        border_style="bright_yellow",
+        highlight=True,
+        expand=False,  # Prevent unnecessary whitespace
+    )
+    console.print(panel)
+
+    # Instructions on how to reprint (using rich Text)
+    instructions = Text.assemble(
+        ("\nThis message will ",),
+        (
+            "not ",
+            "bold",
         ),
-        columns,
+        ("be automatically shown again. To view this message again,  in an AgMLDataLoader run "),
+        ("`loader.info.citation_summary()` "),
+        (" Otherwise, you can use `agml.data.source(<dataset_name>).citation_summary()`.",),
     )
-    print("\n" + "=" * max_print_length)
-    print(first_msg)
-    print(license_msg)
-    print(citation_msg)
-    print(docs_msg)
-    print(
-        "\nThis message will " + _bold("not") + " be automatically shown\n"
-        "again. To view this message again, in an AgMLDataLoader\n"
-        + "run `loader.info.citation_summary()`. Otherwise, you\n"
-        + "can use `agml.data.source(<name>).citation_summary().`"
+    warning_panel = Panel(
+        instructions,
+        title="Note",
+        border_style="yellow",
+        expand=False,
+        highlight=True,
     )
+    console.print(warning_panel)
 
     if location is not None:
-        print(f"\nYou can find your dataset at {location}.")
-    print("=" * max_print_length)
-    sys.stdout.flush()
+        console.print(f"\n [bold] You can find your dataset at {location}.")
diff --git a/agml/utils/downloads.py b/agml/utils/downloads.py
index 76f67eee..ed231063 100644
--- a/agml/utils/downloads.py
+++ b/agml/utils/downloads.py
@@ -16,8 +16,18 @@
 import shutil
 import zipfile
 
+from rich.progress import (
+    BarColumn,
+    DownloadColumn,
+    Progress,
+    TextColumn,
+    TimeRemainingColumn,
+    TransferSpeedColumn,
+)
+from rich.console import Console
+
 from agml.utils.data import copyright_print, load_public_sources, maybe_you_meant
-from agml.utils.logging import log, tqdm
+from agml.utils.logging import log
 
 
 def download_dataset(dataset_name, dest_dir, redownload=False):
@@ -64,39 +74,42 @@ def download_dataset(dataset_name, dest_dir, redownload=False):
     os.makedirs(dest_dir, exist_ok = True)
     dataset_download_path = os.path.join(dest_dir, os.path.basename(dataset_name) + '.zip')
 
+    console = Console()
+    progress = Progress(
+        TextColumn("[bold blue]{task.fields[filename]}", justify="right"),
+        BarColumn(bar_width=10),
+        "[progress.percentage]{task.percentage:.1f}%",
+        "•",
+        TransferSpeedColumn(),
+        "•",
+        DownloadColumn(),
+        "•",
+        TimeRemainingColumn(),
+    )
+
     # Download object from bucket
     try:
-        with requests.Session() as sess:
-            r = sess.get(url, stream=True)
-            r.raise_for_status()
-            content_size = int(r.headers["Content-Length"])
-            sz = round(content_size / 1000000, 1)
-            size_print = f"{sz} MB"
-            if sz > 1000:
-                size_print = f"{round(sz / 1000, 2)} GB"
-            pg = tqdm(
-                total=content_size,
-                desc=f"Downloading {dataset_name} " f"(size = {size_print})",
-            )
-            with open(dataset_download_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
-                    pg.update(8192)
-            pg.close()
+        with progress:
+            with requests.Session() as sess:
+                r = sess.get(url, stream=True)
+                r.raise_for_status()
+                content_size = int(r.headers.get("content-length", 0))
+                task_id = progress.add_task("download", filename=dataset_name + ".zip", total=content_size)
+                with open(dataset_download_path, "wb") as f:
+                    for chunk in r.iter_content(chunk_size=8192):
+                        f.write(chunk)
+                        progress.update(task_id, advance=len(chunk))
+
     except BaseException as e:
-        try:
-            pg.close()
-        except (NameError, UnboundLocalError):
-            pass
         if os.path.exists(dataset_download_path):
             os.remove(dataset_download_path)
         raise e
 
     # Unzip downloaded dataset
     with zipfile.ZipFile(dataset_download_path, "r") as z:
-        print(f"[AgML Download]: Extracting files for {dataset_name}... ", end="")
+        console.print(f"[AgML Download]: Extracting files for {dataset_name}... ", end="")
         z.extractall(path=dest_dir)
-        print("Done!")
+        console.print("[bold] Done!")
 
     # Delete zipped file
     if os.path.exists(dataset_download_path):
@@ -150,30 +163,33 @@ def download_model(model_name, dest_dir, redownload=False):
     os.makedirs(dest_dir, exist_ok=True)
     model_download_path = os.path.join(dest_dir, model_name + ".pth")
 
+    progress = Progress(
+        TextColumn("[bold blue]{task.fields[filename]}", justify="right"),
+        BarColumn(bar_width=None),
+        "[progress.percentage]{task.percentage:.1f}%",
+        "•",
+        TransferSpeedColumn(),
+        "•",
+        DownloadColumn(),
+        "•",
+        TimeRemainingColumn(),
+    )
     # Download object from bucket
+
     try:
-        with requests.Session() as sess:
-            r = sess.get(url, stream=True)
-            r.raise_for_status()
-            content_size = int(r.headers["Content-Length"])
-            sz = round(content_size / 1000000, 1)
-            size_print = f"{sz} MB"
-            if sz > 1000:
-                size_print = f"{round(sz / 1000, 2)} GB"
-            pg = tqdm(
-                total=content_size,
-                desc=f"Downloading {model_name} " f"(size = {size_print})",
-            )
-            with open(model_download_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
-                    pg.update(8192)
-            pg.close()
+        with progress:
+            with requests.Session() as sess:
+                r = sess.get(url, stream=True)
+                r.raise_for_status()
+
+                content_size = int(r.headers.get("content-length", 0))
+                task_id = progress.add_task("download", filename=model_name + ".pth", total=content_size)
+                with open(model_download_path, "wb") as f:
+                    for chunk in r.iter_content(chunk_size=8192):
+                        f.write(chunk)
+                        progress.update(task_id, advance=len(chunk))
+
     except BaseException as e:
-        try:
-            pg.close()
-        except (NameError, UnboundLocalError):
-            pass
         if os.path.exists(model_download_path):
             os.remove(model_download_path)
         raise e
@@ -212,40 +228,43 @@ def download_detector(detector_name, dest_dir, redownload=False):
     # File path of model
     os.makedirs(dest_dir, exist_ok=True)
     model_download_path = os.path.join(dest_dir, detector_name + ".zip")
-
+    console = Console()
+    progress = Progress(
+        TextColumn("[bold blue]{task.fields[filename]}", justify="right"),
+        BarColumn(bar_width=None),
+        "[progress.percentage]{task.percentage:.1f}%",
+        "•",
+        TransferSpeedColumn(),
+        "•",
+        DownloadColumn(),
+        "•",
+        TimeRemainingColumn(),
+    )
     # Download object from bucket
     try:
-        with requests.Session() as sess:
-            r = sess.get(url, stream=True)
-            r.raise_for_status()
-            content_size = int(r.headers["Content-Length"])
-            sz = round(content_size / 1000000, 1)
-            size_print = f"{sz} MB"
-            if sz > 1000:
-                size_print = f"{round(sz / 1000, 2)} GB"
-            pg = tqdm(
-                total=content_size,
-                desc=f"Downloading {detector_name} " f"(size = {size_print})",
-            )
-            with open(model_download_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
-                    pg.update(8192)
-            pg.close()
+        with progress:
+            with requests.Session() as sess:
+                r = sess.get(url, stream=True)
+                r.raise_for_status()
+
+                content_size = int(r.headers.get("content-length", 0))
+                task_id = progress.add_task("download", filename=detector_name + ".zip", total=content_size)
+
+                with open(model_download_path, "wb") as f:
+                    for chunk in r.iter_content(chunk_size=8192):
+                        f.write(chunk)
+                        progress.update(task_id, advance=len(chunk))
+
     except BaseException as e:
-        try:
-            pg.close()
-        except (NameError, UnboundLocalError):
-            pass
         if os.path.exists(model_download_path):
             os.remove(model_download_path)
         raise e
 
     # Unzip downloaded dataset
     with zipfile.ZipFile(model_download_path, "r") as z:
-        print(f"[AgML Download]: Extracting files for {detector_name}... ", end="")
+        console.print(f"[bold] [AgML Download]: [normal pink] Extracting files for {detector_name}... ", end="")
         z.extractall(path=dest_dir)
-        print("Done!")
+        console.print("󱓞 Done! ")
 
     # Delete zipped file
     if os.path.exists(model_download_path):
diff --git a/docs/datasets/iNatAg-mini.md b/docs/datasets/iNatAg-mini.md
index d05b82db..96537bf7 100644
--- a/docs/datasets/iNatAg-mini.md
+++ b/docs/datasets/iNatAg-mini.md
@@ -10,10 +10,7 @@ It consists of 2,959 species with a breakdown of 1,986 crop species and 973 weed
 from pprint import pprint
 import agml
 
-datasets = agml.data.public_data_sources()
-iNatAg_mini_datasets = [ds._name.replace("iNatAg-mini/","") for ds in datasets if "iNatAg-mini" in ds._name]
-
-print(iNatAg_mini_datasets)
+print(agml.data.public_data_sources(parent_dataset='iNatAg-mini'))
 ```
 
 ## Loading iNatAg-mini dataset
diff --git a/docs/datasets/iNatAg.md b/docs/datasets/iNatAg.md
index 73ef2f04..7cbdcbd0 100644
--- a/docs/datasets/iNatAg.md
+++ b/docs/datasets/iNatAg.md
@@ -8,10 +8,7 @@ iNatAg is a large-scale dataset derived from the iNaturalist dataset, designed f
 from pprint import pprint
 import agml
 
-datasets = agml.data.public_data_sources()
-iNatAg_datasets = [ds._name.replace("iNatAg/","") for ds in datasets if "iNatAg" in ds._name]
-
-print(iNatAg_datasets)
+print(agml.data.public_data_sources(parent_dataset='iNatAg'))
 ```
 
 ## Loading iNatAg dataset
diff --git a/docs/datasets/soybean_insect_classification.md b/docs/datasets/soybean_insect_classification.md
new file mode 100644
index 00000000..5d958427
--- /dev/null
+++ b/docs/datasets/soybean_insect_classification.md
@@ -0,0 +1,27 @@
+
+# `soybean_insect_classification`
+
+## Dataset Metadata
+
+| Metadata | Value |
+| --- | --- |
+| **Machine Learning Task** | image_classification |
+| **Agricultural Task** | pest_classification |
+| **Location** | Brazil, South America |
+| **Sensor Modality** | RGB |
+| **Real or Synthetic** | real |
+| **Platform** | uav |
+| **Input Data Format** | JPG |
+| **Annotation Format** | directory_names |
+| **Number of Images** | 6410 |
+| **Documentation** | https://data.mendeley.com/datasets/bycbh73438/1 |
+| **Classes** | Caterpillar, Diabrotica_speciosa, Healthy |
+| **Parent Dataset** | None |
+| **Extra Metadata** | {} |
+| **Stats/Mean** | [0.413, 0.516, 0.335] |
+| **Stats/Standard Deviation** | [0.22, 0.23, 0.203] |
+
+
+## Examples
+
+![Example Images for soybean_insect_classification](https://github.com/Project-AgML/AgML/blob/main/docs/sample_images/soybean_insect_classification_examples.png)
\ No newline at end of file
diff --git a/docs/sample_images/soybean_insect_classification_examples.png b/docs/sample_images/soybean_insect_classification_examples.png
new file mode 100644
index 00000000..93d0a968
Binary files /dev/null and b/docs/sample_images/soybean_insect_classification_examples.png differ
diff --git a/pyproject.toml b/pyproject.toml
index 88ae7324..eb39e944 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -49,6 +49,8 @@ dependencies = [
     "pyyaml>=6.0.2",
     "albumentations>=1.4.18",
     "dict2xml>=1.7.6",
+    "ipywidgets>=8.1.5",
+    "rich>=14.0.0",
 ]
 [project.urls]
 
@@ -71,4 +73,4 @@ dev-dependencies = [
     "mypy>=1.13.0",
     "coverage>=7.6.1",
     "interrogate>=1.7.0",
-]
\ No newline at end of file
+]
diff --git a/uv.lock b/uv.lock
index 9ca32a43..9fc82e6f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,34 +1,42 @@
 version = 1
 requires-python = ">=3.8, <3.12"
 resolution-markers = [
-    "python_full_version < '3.9' and platform_machine == 'arm64' and platform_system == 'Darwin'",
-    "python_full_version < '3.9' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version < '3.9' and platform_machine != 'aarch64' and platform_machine != 'arm64') or (python_full_version < '3.9' and platform_machine == 'aarch64' and platform_system != 'Linux') or (python_full_version < '3.9' and platform_machine == 'arm64' and platform_system != 'Darwin')",
-    "python_full_version == '3.9.*' and platform_machine == 'arm64' and platform_system == 'Darwin'",
-    "python_full_version == '3.9.*' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version == '3.9.*' and platform_machine != 'aarch64' and platform_machine != 'arm64') or (python_full_version == '3.9.*' and platform_machine == 'aarch64' and platform_system != 'Linux') or (python_full_version == '3.9.*' and platform_machine == 'arm64' and platform_system != 'Darwin')",
-    "python_full_version == '3.10.*' and platform_system == 'Darwin'",
-    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version == '3.10.*' and platform_system != 'Darwin' and platform_system != 'Linux')",
-    "python_full_version >= '3.11' and platform_system == 'Darwin'",
-    "python_full_version >= '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux'",
-    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.11' and platform_system != 'Darwin' and platform_system != 'Linux')",
+    "python_full_version >= '3.11' and sys_platform == 'darwin'",
+    "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.10.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.10.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.9.*' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version == '3.9.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.9.*' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version == '3.9.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.9.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.9' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version < '3.9' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [[package]]
 name = "agml"
-version = "0.1.0"
+version = "0.7.2"
 source = { editable = "." }
 dependencies = [
-    { name = "albumentations" },
+    { name = "albumentations", version = "1.4.18", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "albumentations", version = "2.0.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
     { name = "dict2xml" },
-    { name = "matplotlib" },
-    { name = "numpy" },
+    { name = "ipywidgets" },
+    { name = "matplotlib", version = "3.7.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "matplotlib", version = "3.9.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "matplotlib", version = "3.10.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numpy", version = "1.24.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "numpy", version = "2.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "opencv-python" },
     { name = "opencv-python-headless" },
     { name = "pyyaml" },
     { name = "requests" },
-    { name = "scikit-learn" },
+    { name = "rich" },
+    { name = "scikit-learn", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "scikit-learn", version = "1.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
     { name = "tqdm" },
 ]
 
@@ -36,28 +44,37 @@ dependencies = [
 dev = [
     { name = "boto3" },
     { name = "botocore" },
-    { name = "coverage" },
+    { name = "coverage", version = "7.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "coverage", version = "7.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
     { name = "interrogate" },
-    { name = "mypy" },
-    { name = "pandas" },
+    { name = "mypy", version = "1.14.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "mypy", version = "1.15.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
+    { name = "pandas", version = "2.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "pandas", version = "2.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
     { name = "pytest" },
-    { name = "pytest-cov" },
+    { name = "pytest-cov", version = "5.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "pytest-cov", version = "6.1.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
     { name = "pytest-order" },
     { name = "ruff" },
-    { name = "scikit-image" },
-    { name = "shapely" },
+    { name = "scikit-image", version = "0.21.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "scikit-image", version = "0.24.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "scikit-image", version = "0.25.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "shapely", version = "2.0.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "shapely", version = "2.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "albumentations", specifier = ">=1.4.18" },
     { name = "dict2xml", specifier = ">=1.7.6" },
+    { name = "ipywidgets", specifier = ">=8.1.5" },
     { name = "matplotlib", specifier = ">=3.7.5" },
     { name = "numpy", specifier = ">=1.24.4" },
     { name = "opencv-python", specifier = ">=4.10.0.84" },
     { name = "opencv-python-headless", specifier = ">=4.10.0.84" },
     { name = "pyyaml", specifier = ">=6.0.2" },
     { name = "requests", specifier = ">=2.0.0" },
+    { name = "rich", specifier = ">=14.0.0" },
     { name = "scikit-learn", specifier = ">=1.3.2" },
     { name = "tqdm", specifier = ">=4.67.0" },
 ]
@@ -82,36 +99,106 @@ dev = [
 name = "albucore"
 version = "0.0.17"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.9' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version < '3.9' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
 dependencies = [
-    { name = "numpy" },
-    { name = "opencv-python-headless" },
-    { name = "typing-extensions", marker = "python_full_version < '3.10'" },
+    { name = "numpy", version = "1.24.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "opencv-python-headless", marker = "python_full_version < '3.9'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.9'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/50/03/81e5b3b6ee7911a70ed19028ccfed90f5cb32fc9fb33af5bc587fc1ab6a1/albucore-0.0.17.tar.gz", hash = "sha256:e9956ac4debc47e804f0677ff4e23939ba322986eac16e801f8ea1c98269db65", size = 12271 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/f7/20/9f56b72131ea71c9566f0cc303a9e92156767845164c0f4ec10534630991/albucore-0.0.17-py3-none-any.whl", hash = "sha256:751a6d219a0b5217b44168d5fae90c27eadfa5bc381cbb7cc74536e90aeeac5b", size = 10378 },
 ]
 
+[[package]]
+name = "albucore"
+version = "0.0.23"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.11' and sys_platform == 'darwin'",
+    "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.10.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.10.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.9.*' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version == '3.9.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.9.*' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version == '3.9.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.9.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
+dependencies = [
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "numpy", version = "2.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "opencv-python-headless", marker = "python_full_version >= '3.9'" },
+    { name = "simsimd", marker = "python_full_version >= '3.9'" },
+    { name = "stringzilla", marker = "python_full_version >= '3.9'" },
+    { name = "typing-extensions", marker = "python_full_version == '3.9.*'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c0/64/78d1716dd1496734d58705d68e02a9eadf4c10edd32c3ad641dde949efca/albucore-0.0.23.tar.gz", hash = "sha256:57823982b954913b84a9e2cf71058c4577b02397a62c41885be2d9b295efa8ab", size = 16437 }
+wheels = [
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 [[package]]
 name = "albumentations"
 version = "1.4.18"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.9' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version < '3.9' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
 dependencies = [
-    { name = "albucore" },
-    { name = "eval-type-backport" },
-    { name = "numpy" },
-    { name = "opencv-python-headless" },
-    { name = "pydantic" },
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-    { name = "scikit-image" },
-    { name = "scipy" },
-    { name = "typing-extensions", marker = "python_full_version < '3.10'" },
+    { name = "albucore", version = "0.0.17", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "eval-type-backport", marker = "python_full_version < '3.9'" },
+    { name = "numpy", version = "1.24.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "opencv-python-headless", marker = "python_full_version < '3.9'" },
+    { name = "pydantic", version = "2.10.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "pyyaml", marker = "python_full_version < '3.9'" },
+    { name = "scikit-image", version = "0.21.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "scipy", version = "1.10.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.9'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.9'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ce/52/cd2399a7037a70dd6410a7c890a1cdfd79563c03c4a7f3311278c9a3b1b0/albumentations-1.4.18.tar.gz", hash = "sha256:701a9405f059f761f00ce00e187954d01276bdb78b33abcf864e79727db3bf1a", size = 207321 }
 wheels = [
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 ]
 
+[[package]]
+name = "albumentations"
+version = "2.0.5"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.11' and sys_platform == 'darwin'",
+    "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.10.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.10.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.9.*' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version == '3.9.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.9.*' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version == '3.9.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.9.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
+dependencies = [
+    { name = "albucore", version = "0.0.23", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
+    { name = "eval-type-backport", marker = "python_full_version == '3.9.*'" },
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "numpy", version = "2.2.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "opencv-python-headless", marker = "python_full_version >= '3.9'" },
+    { name = "pydantic", version = "2.11.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.9'" },
+    { name = "pyyaml", marker = "python_full_version >= '3.9'" },
+    { name = "scipy", version = "1.13.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.9.*'" },
+    { name = "scipy", version = "1.15.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "typing-extensions", marker = "python_full_version == '3.9.*'" },
+]
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