YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Jun 18, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
Ultralytics YOLOv8 and YOLOv9 for ROS 2
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.
🚀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)
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
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
Дальномер по желтой метке на карте
μ DDetailer, DDetailer fork to support DDetailer as an extension
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