ultralytics / ultralytics

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

HumanSignal / label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

wkentaro / labelme

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

qubvel-org / segmentation_models.pytorch

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

john-rocky / CoreML-Models

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

drprojects / superpoint_transformer

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

Intellindust-AI-Lab / GTR

GTR: Gated Token Recurrence for Efficient Dense Prediction

cvat-ai / cvat

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

luigifreda / pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

lightly-ai / lightly-train

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

yoshitomo-matsubara / torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

openvinotoolkit / nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

oarriaga / paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

ultralytics / yolo-ios-app

Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

AndreiiArhire / LightMIS

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

yuanmaoxun / Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

Gu-kai-lei / UAV-Detection-Segmentation-Fusion

无人机投粮器 YOLO 检测与 SegFormer 地块语义分割组合项目：配置、脚本、训练日志、实验记录与部署说明。