Aerial Drone Image Semantic Segmentation using U-Net with MobileNetV2 as the backbone architecture in Pytorch
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Updated
Feb 22, 2021 - Jupyter Notebook
Aerial Drone Image Semantic Segmentation using U-Net with MobileNetV2 as the backbone architecture in Pytorch
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
Demo and code of my internship about semantic segmentation for industrial NDTs
PyTorch DeepLabV3/V3+ semantic segmentation on Cityscapes: training, mIoU evaluation, inference overlays, and submission-ready labelIds export.
An open source 2D game built using Ocaml, Raylib and miou.
Contains implementation of the Kaggle competition conducted as a part of the DL course work here at IIT Hyderabad
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