hubert10/fasterrcnn_resnet50_fpn_v2_new_dataset
How to Train Faster RCNN ResNet50 FPN V2 on Custom Dataset?
This project helps computer vision engineers and researchers train an advanced object detection model to identify specific items within images and videos. It takes a custom dataset of images with labeled objects (e.g., medical personnel wearing PPE) and outputs a trained model capable of detecting those objects in new footage. This is for professionals building automated visual inspection or monitoring systems.
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Use this if you need to develop a robust object detection system for specific items, leveraging a modern and high-performing model architecture.
Not ideal if you are looking for a pre-trained, ready-to-use solution without any model training or customization.
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Python
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Last pushed
Nov 29, 2023
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