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| license: cc-by-4.0 | |
| language: | |
| - en | |
| tags: | |
| - computer-vision | |
| - retail | |
| - retail-imagery | |
| - stores | |
| - object-detection | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - object-detection | |
| ## Dataset Description | |
| The Retail Object Detector dataset supports training and evaluating computer vision models for general object detection in retail environments. | |
| It contains 749 labeled .PNG images across train, dev, and test splits, combining real retail images with AI generated synthetic images to improve model robustness. | |
| Each image includes a corresponding Pascal VOC XML annotation with bounding boxes and a single class label 'obj', intended for research, model development, and inventory monitoring use cases, performace may vary with lighting, occlusion, camera angle, and image quality. | |
| # Intended Use | |
| This dataset is intended for research, experimentation, educational applications, and early-stage development of retail computer vision systems. | |
| It can be used for developing and evaluating object detection models focused on identifying and localizing items in shelf-like environments, with potential applications including shelf item detection, stock visibility analysis, and planogram compliance experiments. | |
| # Dataset Strengths | |
| The dataset combines synthetic and non-synthetic imagery, providing two different sources of visual data for experimentation. Images represent multiple shelf and storage configurations, while maintaining a consistent object-detection annotation structure. | |
| The dataset uses a single OBJ class, allowing it to be used as a general-purpose object localization dataset without requiring product-specific classification labels. | |
| ## Dataset formatting | |
|  | |
|  | |
| ## Image formatting | |
|  | |
| ## Citation | |
| ```latex | |
| @dataset{ratio1_drone_dataset_2026, | |
| author = {Ratio1}, | |
| title = {Retail Object Detection}, | |
| year = {2026}, | |
| publisher = {Hugging Face}, | |
| url = {https://huggingface.co/datasets/ratio1/Retail_Object_Detection}, | |
| version = {v1.0} | |
| } |