🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
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Updated
May 25, 2024
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
Track user eye in front of webcam using pre-trained Haar cascade eye detection model, openCv and ultralytics yolov5
A simple flask web app that performs real-time object detection in video using YOLOv5 ultralytics.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Ultralytics Docs at https://docs.ultralytics.com/
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
μ DDetailer, DDetailer fork to support DDetailer as an extension
Object Detection, Object Segmentation, and Pose Detection with Tracking Using the Official Models of Ultralytics YOLOv8.
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
A simple flask web app that streams live video from a webcam and performs real-time object detection using YOLOv5 ultralytics
This project leverages a custom-trained YOLOv9 model to detect objects related to room cleanliness. Built with Gradio, it provides an interactive web interface where users can upload images and adjust detection parameters. The app returns images with annotated bounding boxes around detected objects, aiding in room organization tasks.
My YOLOv8 learning pathway. Just for fun! You only look (live) once
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
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
This repository holds the source code for the IslandSigns application. IslandSigns facilitates real-time Jamaican Sign Language (JSL) translation to text among other features, allowing seamless conversations between a hearing impaired and hearing individual in text message form.
Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢
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