YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Jun 9, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Detection Toolbox and Benchmark
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Label Studio is a multi-type data labeling and annotation tool with standardized output format
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Single Shot MultiBox Detector in TensorFlow
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
We write your reusable computer vision tools. 💜
YOLO ROS: Real-Time Object Detection for ROS
A PyTorch implementation of the YOLO v3 object detection algorithm
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
YoloV3 Implemented in Tensorflow 2.0
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Training and Detecting Objects with YOLO3
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
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