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README.md

@@ -1,154 +1,135 @@
 ---
-dataset_info:
-- config_name: body_only
-  features:
-  - name: date
-    dtype: string
-  - name: time
-    dtype: string
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: frame_number
-    dtype: int32
-  - name: camera
-    dtype: string
-  - name: body_image
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 248277019
-    num_examples: 2705
-  download_size: 314141272
-  dataset_size: 248277019
-- config_name: body_tracklets
-  features:
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: camera
-    dtype: string
-  - name: frame_numbers
-    list: int32
-  - name: body_images
-    list: image
-  splits:
-  - name: test
-    num_bytes: 314187819
-    num_examples: 2
-  download_size: 314200391
-  dataset_size: 314187819
-- config_name: face_and_body
-  features:
-  - name: date
-    dtype: string
-  - name: time
-    dtype: string
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: frame_number
-    dtype: int32
-  - name: camera
-    dtype: string
-  - name: face_image
-    dtype: image
-  - name: body_image
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 115893610
-    num_examples: 1192
-  download_size: 121577700
-  dataset_size: 115893610
-- config_name: face_tracklets
-  features:
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: camera
-    dtype: string
-  - name: frame_numbers
-    list: int32
-  - name: face_images
-    list: image
-  splits:
-  - name: test
-    num_bytes: 8140141
-    num_examples: 1
-  download_size: 7768182
-  dataset_size: 8140141
-- config_name: original_with_body_bbox
-  features:
-  - name: date
-    dtype: string
-  - name: time
-    dtype: string
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: frame_number
-    dtype: int32
-  - name: camera
-    dtype: string
-  - name: image
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 248277019
-    num_examples: 2705
-  download_size: 314141224
-  dataset_size: 248277019
-- config_name: original_with_face_body_bbox
-  features:
-  - name: date
-    dtype: string
-  - name: time
-    dtype: string
-  - name: class
-    dtype: string
-  - name: video
-    dtype: string
-  - name: frame_number
-    dtype: int32
-  - name: camera
-    dtype: string
-  - name: image
-    dtype: image
-  splits:
-  - name: test
-    num_bytes: 248277019
-    num_examples: 2705
-  download_size: 314141224
-  dataset_size: 248277019
+license: mit
+task_categories:
+- object-detection
+- image-classification
+tags:
+- animal-detection
+- animal-reidentification
+- bounding-box
+- face-detection
+- body-detection
+- tracklets
+- re-identification
+size_categories:
+- 1K<n<10K
 configs:
+- config_name: face_and_body
+  data_files:
+  - split: test
+    path: face_and_body/test-*
 - config_name: body_only
   data_files:
   - split: test
     path: body_only/test-*
-- config_name: body_tracklets
+- config_name: original_with_face_body_bbox
   data_files:
   - split: test
-    path: body_tracklets/test-*
-- config_name: face_and_body
+    path: original_with_face_body_bbox/test-*
+- config_name: original_with_body_bbox
   data_files:
   - split: test
-    path: face_and_body/test-*
+    path: original_with_body_bbox/test-*
 - config_name: face_tracklets
   data_files:
   - split: test
     path: face_tracklets/test-*
-- config_name: original_with_body_bbox
-  data_files:
-  - split: test
-    path: original_with_body_bbox/test-*
-- config_name: original_with_face_body_bbox
+- config_name: body_tracklets
   data_files:
   - split: test
-    path: original_with_face_body_bbox/test-*
+    path: body_tracklets/test-*
 ---
+
+# Zoo Animal Re-Identification Dataset
+
+A dataset for animal re-identification with **2,705 body images**, **1,192 face crops**, and **6 configurations**.
+
+## Configurations
+
+### 1. `face_and_body`
+Individual frames with both face and body crops.
+
+**Features:**
+- `date`: Date of capture (YYYY-MM-DD)
+- `time`: Time of capture (HH:MM:SS)
+- `class`: Animal name
+- `video`: Source video filename
+- `frame_number`: Frame number in video
+- `camera`: Camera ID
+- `face_image`: Cropped face image
+- `body_image`: Cropped body/full image
+
+### 2. `body_only`
+Individual frames with body crops only.
+
+**Features:**
+- `date`, `time`, `class`, `video`, `frame_number`, `camera`: Same as above
+- `body_image`: Cropped body image
+
+### 3. `original_with_face_body_bbox`
+Full original frames.
+
+**Features:**
+- `date`, `time`, `class`, `video`, `frame_number`, `camera`: Same as above
+- `image`: Original full image
+
+### 4. `original_with_body_bbox`
+Full original frames.
+
+**Features:**
+- `date`, `time`, `class`, `video`, `frame_number`, `camera`: Same as above
+- `image`: Original full image
+
+### 5. `face_tracklets`
+**Face images grouped by tracklet (animal + video)**. Each row contains all face crops from one animal in one video, ordered by frame number.
+
+**Features:**
+- `class`: Animal name
+- `video`: Source video filename
+- `camera`: Camera ID
+- `frame_numbers`: List of frame numbers (ordered)
+- `face_images`: Sequence of face images (ordered by frame)
+
+### 6. `body_tracklets`
+**Body images grouped by tracklet (animal + video)**. Each row contains all body crops from one animal in one video, ordered by frame number.
+
+**Features:**
+- `class`: Animal name
+- `video`: Source video filename
+- `camera`: Camera ID
+- `frame_numbers`: List of frame numbers (ordered)
+- `body_images`: Sequence of body images (ordered by frame)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load individual frames with face and body
+ds = load_dataset("Maxscha/test", "face_and_body", split="test")
+print(ds[0]["face_image"])  # PIL Image
+print(ds[0]["class"])  # Animal name
+
+# Load face tracklets
+ds = load_dataset("Maxscha/test", "face_tracklets", split="test")
+print(len(ds[0]["face_images"]))  # Number of faces in this tracklet
+print(ds[0]["class"])  # Animal name for this tracklet
+
+# Load body tracklets
+ds = load_dataset("Maxscha/test", "body_tracklets", split="test")
+for img in ds[0]["body_images"]:
+    print(img)  # Each PIL Image in the tracklet sequence
+```
+
+## Animals
+
+The dataset contains images of 5 animals:
+- Sango
+- Tilla
+- M'Penzi
+- Bibi
+- Djambala
+
+## License
+
+MIT