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Discover 64 open source projects
Showing 1-20 of 64 projects
ultralytics/yolov5
YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.
ultralytics/ultralytics
YOLO models for computer vision tasks
roboflow/supervision
Reusable computer vision tools for developers
open-mmlab/mmdetection
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
HumanSignal/label-studio
Open-source data labeling tool for AI/ML projects
PaddlePaddle/PaddleDetection
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
ultralytics/yolov3
YOLOv3 is a popular open-source object detection library for computer vision tasks, with support for multiple deployment targets.
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO model for object detection
openvinotoolkit/openvino
OpenVINO is an open-source toolkit for optimizing and deploying AI inference on a variety of hardware.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other powerful models.
mikel-brostrom/boxmot
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
hybridgroup/gocv
A Go package for computer vision using OpenCV 4 and beyond, with support for DNN, CUDA, and more.
meituan/YOLOv6
A high-performance object detection framework for industrial applications, built with PyTorch.
Deci-AI/super-gradients
Open-source library for easily training and fine-tuning state-of-the-art computer vision models.
lyuwenyu/RT-DETR
Real-time object detection transformer that outperforms YOLOs, built with Paddle PyTorch.
open-mmlab/mmyolo
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
vietanhdev/anylabeling
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
tinyvision/DAMO-YOLO
A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.
lucasjinreal/yolov7_d2
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
Cartucho/mAP
A Python library for evaluating the performance of neural networks for object detection.
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