AI-Vision-Detection is an efficient object detection system that uses YOLOv8 to analyze images and generate comprehensive visual and statistical insights. This tool is designed for domains like surveillance, traffic monitoring, and retail analytics by offering real-time object detection capabilities and rich analytics.
- Object detection using YOLOv8
- Annotated images with bounding boxes
- Pie charts of detected object class distributions
- Histograms of detection confidence scores
- Boxplots showing bounding box size statistics
- Robust error handling for smooth execution
- Summary reports with total and categorized object counts
YOLOv8 (Ultralytics)– Pre-trained detection modelOpenCV– Image handling and bounding box drawingMatplotlib– Visualization libraryNumPy– Data processing and math operationsGoogle Colab (Optional)– Easy-to-use notebook interface for running the model
Install the required packages using pip:
pip install ultralytics opencv-python matplotlib numpy
from google.colab import files
uploaded = files.upload()
results = model(image_path)