A Machine learning model to detect defects in industrial pump impeller casts and classify the type of it.

Python code extracted from a Jupyter notebook academic submission, covering neural network classification, hyperparameter tuning, and image-based defect detection using MLPs and CNNs.

🛠️ Detect casting defects using neural networks with this Python implementation, featuring MLPs and CNNs for effective image-based classification.

铸件缺陷检测与分类-基于NAS-FCOS改进模型的缺陷识别技术研究_1

Defect Detection in Castings Using Image Classification

machine-learning, deep-learning, cnn, computer-vision, defect-detection, industrial-ai, tensorflow, keras, image-classification, casting-defects, huggingface-spaces, gradio, manufacturing-ai

Repository for hybrid Quantum-Inspired Neural Networks (QNNs) applied to casting defect detection. Includes preprocessing scripts, QNN and CNN models, training code, metrics, and dataset links for reproducible and FAIR-compliant defect classification experiments.