Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
In this project, I aim to raise people's awareness and encourage them to recycle so that the oceans, seas, or the environment do not become more polluted and damaged in our increasingly polluted world. This project is aimed to detect recyclable objects such as cardboard, paper, plastic, and metal with the help of artificial intelligence and to f…
Python code for Neuromatch Academy's Summer 2022 Deep Learning course project: Waste detection using Mask R-CNN on TACO dataset.
Trash Object Detection from Images or Videos with specific trash type labels using TACO dataset
Deep Learning project for waste object detection and segmentation using YOLOv8 and U-Net on the TACO dataset. Implements object detection with YOLOv8 for bounding boxes and custom U-Net for pixel-wise segmentation. Includes EDA, data augmentation pipeline, and comparative analysis. Built with PyTorch for CS4045 course project.
A small set of tools to filter the TACO image set for waste recognition. Built for ZotBins at UCI
A deep learning project implementing YOLOv8 for multi-class waste detection and classification using the TACO dataset.
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