Create README.md

README.md

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+---
+license: other
+task_categories:
+- image-classification
+language:
+- fr
+tags:
+- background
+- no-animal
+- classification
+pretty_name: Animal Classification (Background)
+size_categories:
+- 10K<n<100K
+---
+
+# Background Dataset — `Horama/classif_background`
+
+![Task](https://img.shields.io/badge/task-image--classification-blue)
+![Type](https://img.shields.io/badge/class-null-lightgrey)
+
+Dataset of images **without animals**, used as a background class.
+
+This dataset is part of the merged dataset:
+👉 `Horama/classif_merged_187`
+
+---
+
+## Dataset Summary
+
+- Images with no animals present
+- Label: `null`
+
+---
+
+## Intended Use
+
+- Train models to predict **“no animal”**
+- Reduce false positives
+- Improve classifier robustness
+
+---
+
+## Data Source
+
+- Derived from COCO dataset
+
+---
+
+## Splits
+
+Predefined splits are preserved from the original dataset.
+
+---
+
+## Data Processing
+
+Same preprocessing pipeline as:
+👉 `Horama/classif_merged_187`
+
+---
+
+## Dataset Structure
+
+Data is stored as **zstd-compressed Parquet shards**.
+
+Images are stored as **raw bytes** and decoded on-the-fly.
+
+---
+
+## Row format
+
+```python
+{
+    "image": <PIL Image>,  # stored as raw bytes
+    "label": "null",
+    "distance": str,
+}
+```
+
+---
+
+## Biases & Limitations
+May not reflect real-world negative samples
+Distribution differs from production pipeline
+
+---
+
+## Ethical Considerations
+Inherits constraints from COCO dataset
+
+---
+
+## License
+
+Follows COCO dataset licensing.