Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
86,076 visible repositories in the index
1–24 of 84 · Most stars
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
OpenMMLab Detection Toolbox and Benchmark
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
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
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
Translated[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. An open-source multimodal dialogue model with performance close to GPT-4o
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Unified framework for robot learning with multi-physics/renderer support
TranslatedChinese version of the AI pose reference gallery · 1439 sets / 2878 images / fully localized into Chinese · zero-dependency static gallery
Gluon CV Toolkit
Production First and Production Ready End-to-End Speech Recognition Toolkit
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Caffe: a fast open framework for deep learning.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
Official PyTorch implementation of SegFormer
Open-source inference server and production cluster for all the models your agent needs.
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.
Semantic Segmentation Architectures Implemented in PyTorch
OpenAI Whisper ASR Webservice API