KrP77-HF/defect_detection
Defect Detection for Industrial Quality Control This repository contains the datasets and model checkpoints for an automated quality control system designed to detect defects in plastic injection-molded components. š Project Overview This project applies deep learning to industrial manufacturing. By utilizing YOLOv8 architectures, the system identifies surface defects in real-time, specifically optimized for deployment on edge devices like the Raspberry Pi 5.⦠See the full description on the dataset page: https://huggingface.co/datasets/KrP77-HF/defect_detection.
02
No card is published for this repository, or it could not be fetched from Hugging Face right now.
