YOLOv5
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Updated
May 25, 2023 - Python
YOLOv5
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8
NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO models
Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
Packaged version of ultralytics/yolov5 + many extra features
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
Ultralytics HUB tutorials and support
Easy-to-use finetuned YOLOv8 models.
Huggingface utilities for Ultralytics/YOLOv8
Дальномер по желтой метке на карте
YOLOv8 object detection, tracking and image segmentation app using Ultralytics API (for detection and segmentation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
YOLOv8 for ROS 2 using ultralytics (https://github.com/ultralytics/ultralytics)
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