There are 4 repositories under ultralytics topic.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
Convert JSON annotations into YOLO format.
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
Packaged version of ultralytics/yolov5 + many extra features
Aim-bot based on AI for all FPS games
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
Ultralytics YOLOv8, YOLOv9, YOLOv10 for ROS 2
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
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.
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
Easy-to-use finetuned YOLOv8 models.
🚀Simple and efficient use for Ultralytics yolov8🚀
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
Ultralytics HUB tutorials and support
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Pose models
Experiment and integrate with different OCR frameworks seamlessly
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
本科个人目标检测毕设
Huggingface utilities for Ultralytics/YOLOv8
YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.
Rangefinder on the yellow mark on the map
Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View
Дальномер по желтой метке на карте
μ DDetailer, DDetailer fork to support DDetailer as an extension
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models
NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models
🧇Waffle Hub🧇 is Deep Learning 🛠️Open Source Framework Adapter. It provides you 😎no-code, 😏easy training and inference!
💡💡💡awesome compute vision app in gradio