Open Issues Need Help
View All on GitHub AI/ML • Object Detection and Instance Segmentation
Patch-based Image Classification about 1 year ago
AI Summary: This task involves developing a patch-based image classification system for benthic habitat analysis. This includes creating a data pipeline to extract patches from Tator imagery data, training a YOLO-based image classification model, and developing a production-ready system to generate and analyze patches from user-uploaded images, returning percentage composition estimates of benthic substrates. The system should be dockerized for deployment.
Complexity:
4/5
enhancement help wanted
Jordan-Pierce/tator-tools Jordan-Pierce/tator-tools A repository for creating object detection and instance segmentation models on ROV, AUV, and DropCam imagery data in Tator
Open project →
5
A repository for creating object detection and instance segmentation models on ROV, AUV, and DropCam imagery data in Tator
Jupyter Notebook