| --- |
| 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} |
| } |
