Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,4 +8,21 @@ size_categories:
|
|
| 8 |
- n<1K
|
| 9 |
task_categories:
|
| 10 |
- object-detection
|
| 11 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
- n<1K
|
| 9 |
task_categories:
|
| 10 |
- object-detection
|
| 11 |
+
---
|
| 12 |
+
# Retail Object Detection
|
| 13 |
+
|
| 14 |
+
The retail object detector dataset supports training and evaluating computer vision models for general object detection in retail environments.
|
| 15 |
+
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.
|
| 16 |
+
|
| 17 |
+
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.
|
| 18 |
+
|
| 19 |
+
## Citation
|
| 20 |
+
```latex
|
| 21 |
+
@dataset{ratio1_drone_dataset_2026,
|
| 22 |
+
author = {Ratio1},
|
| 23 |
+
title = {Retail Object Detection},
|
| 24 |
+
year = {2026},
|
| 25 |
+
publisher = {Hugging Face},
|
| 26 |
+
url = {https://huggingface.co/datasets/ratio1/Retail_Object_Detection},
|
| 27 |
+
version = {v1.0}
|
| 28 |
+
}
|