xuebinqin/U-2-Net

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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

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.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

End-to-End Object Detection with Transformers

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

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/