lucasjinreal/yolov7_d2

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

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

We write your reusable computer vision tools. 💜

OpenMMLab Detection Toolbox and Benchmark

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

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

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

Effortless data labeling with AI support from Segment Anything and other awesome models.

BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.