⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

SOTA Re-identification Methods and Toolbox

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …

YYDS: Visible-Infrared Person Re-Identification with Coarse Description

moving object detection for satellite videos.

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.

Reference PyTorch implementation and models for DINOv3

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

[ACMMM-25] Official repo of "RemoteSAM: Towards Segment Anything for Earth Observation"

😎 Awesome lists about all kinds of interesting topics

[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

地图瓦片下载器，支持百度地图、高德地图、谷歌地图瓦片下载；另有百度地图、高德地图、谷歌地图API离线版

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Falcon: A Remote Sensing Vision-Language Foundation Model

Marine Oil Spill Detection with Low-quality SAR Remote Sensing Images

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.

Awesome Remote Sensing Large Model：Multi-Modal related（多模态相关），Remote Sensing Foundation Models（遥感基础模型）

Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary

🌌 Fine tune specific SAM model on any task

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

This is an official repo for fine-tuning SAM to customized medical images.

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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.

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Oil Spill Detection Based on Deep Convolution Neural Network using Polarimetric Scattering Information from Sentinel-1 SAR Images