circumflex3105/Casting-Defect-Detection
This project uses an industrial casting product image dataset to train a deep learning model using PyTorch. It compares the test results of a model trained on the raw dataset against one trained on the dataset after a custom preprocessing pipeline with OpenCV.
Stars
—
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/circumflex3105/Casting-Defect-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection
RajdeepBiswas/Manufacturing-Quality-Inspection
I have built the computer vision models in 3 different ways addressing different personas,...
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a...
utkarsh-ankit/Defect-Detection-of-PCB
A repository for creating a Deep Learning model for Defect Detection in PCBs and to design a Web...
khornlund/severstal-steel-defect-detection
Kaggle Segmentation Challenge