Custom Image Recognition System
PythonTensorFlowKerasComputer Vision
Created a custom image recognition system for automated object detection and classification in various industrial applications.
Designed and deployed a high-performance image recognition system tailored for specific industrial use cases, such as quality control and defect detection. Utilized deep learning architectures like Convolutional Neural Networks (CNNs) for accurate and efficient image analysis.
The system includes a data labeling interface and a continuous learning pipeline to improve model performance over time. It has significantly enhanced automation and reduced manual inspection efforts in manufacturing processes.