KleinYuan/easy-yolo
Yolo (Real time object detection) model training tutorial with deep learning neural networks
This project helps you build a real-time object detector that can identify and classify objects in live video feeds or image streams. You provide a set of images with labeled objects, and the system outputs a trained model capable of instantly recognizing those objects. This tool is ideal for developers or researchers working with computer vision applications who need to deploy their own custom object detection systems.
101 stars. No commits in the last 6 months.
Use this if you are a developer with Linux experience and an NVIDIA GPU, and you need to train a custom real-time object detection model from scratch for a specific task.
Not ideal if you are looking for a plug-and-play solution without deep technical setup, or if you don't have access to a Linux system with an NVIDIA GPU.
Stars
101
Forks
26
Language
C
License
—
Category
Last pushed
Nov 07, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/KleinYuan/easy-yolo"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/ultralytics
Ultralytics YOLO 🚀
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX,...
kujason/avod
Code for 3D object detection for autonomous driving
aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics