Package dataset with card and manifest

README.md

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+---
+pretty_name: Birds Object Detection 1600x896
+task_categories:
+  - object-detection
+size_categories:
+  - 10K<n<100K
+tags:
+  - birds
+  - yolo
+  - ultralytics
+  - object-detection
+---
+
+# Birds Object Detection 1600x896
+
+A single-class bird object-detection dataset prepared for Ultralytics at a
+1600 x 896 camera resolution. The dataset uses a deterministic 90% training
+and 10% validation split.
+
+## Contents
+
+- `data/yolo_birds_1600x896.tar.gz`: complete Ultralytics dataset archive.
+- `manifest.json`: archive size, SHA-256 checksum, and dataset metadata.
+
+After extraction, the archive contains `data.yaml` and matching image and YOLO
+label trees:
+
+```text
+data.yaml
+images/train/
+images/val/
+labels/train/
+labels/val/
+```
+
+## Download
+
+```python
+from huggingface_hub import hf_hub_download
+
+archive = hf_hub_download(
+    repo_id="PBatch23888/birds-object-detection-1600x896",
+    repo_type="dataset",
+    filename="data/yolo_birds_1600x896.tar.gz",
+)
+```
+
+Private repositories require an authenticated Hugging Face account with
+access to the dataset.
+
+## Dataset composition
+
+The data builder combines bird annotations from Open Images, COCO 2017,
+Pascal VOC 2012, Birdsnap, and NABirds. Open Images group-of and depiction
+annotations are excluded. All retained annotations are mapped to the single
+class `bird`.
+
+## Licensing
+
+This is a compilation of multiple upstream datasets. Their respective terms
+and licenses continue to apply. Review each upstream dataset's license before
+redistributing or using this compilation.

manifest.json

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+{
+  "format_version": 1,
+  "format": "ultralytics-yolo",
+  "class_names": [
+    "bird"
+  ],
+  "image_size": [
+    896,
+    1600
+  ],
+  "split": {
+    "train": 0.9,
+    "validation": 0.1
+  },
+  "image_count": 80769,
+  "archive": {
+    "path": "data/yolo_birds_1600x896.tar.gz",
+    "size": 17198845261,
+    "sha256": "a3c63269914fd968fdf5f22b75a886a9e2e4fb66b24857dc8c991e6236bf50c3"
+  }
+}