NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
May 26, 2024 - Python
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Offers Neural Network Recognition (Yolov3) of IP Camerafeeds and signalling
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet
This repository contains all the necessary material to implement a YOLOv3 object detection algorithm on the PYNQ-Z2 FPGA. There is a step-by-step tutorial associated so everyone can do it.
👁️ A plain web application for real-time object detection via webcam, using Flask and OpenCV.
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
In browser YOLO Annotation Tool
Drowning Detector - A computer vision project using OpenCV and deep learning to detect drowning incidents in videos.
Real-time object detection and counting with YOLOv3. Includes a user-friendly GUI for selecting image and video inputs.
🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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