Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

First break picking in seismic gather

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Ultralytics YOLO 🚀

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A python based GUI to annotate images and save annotations as COCO style JSON format.