ImDUSTRY5-1.5K: A Public Benchmark Dataset for Industrial Object Detection in Real Production Environments

ImDUSTRY5-1.5K is a public benchmark dataset for industrial object detection collected in a real production environment collected under the project HABIT. The dataset contains 1,500 annotated images across 11 object classes and is designed for reproducible evaluation under realistic industrial conditions, including clutter, occlusion, scale variation, and non-uniform illumination. The record includes YOLO-format annotations, an official train/validation split, metadata files, and documentation.