Update README.md

README.md

@@ -1,21 +1,164 @@
 ---
+language:
+- en
+pretty_name: Rubber Duck Detection Dataset
+tags:
+- computer-vision
+- object-detection
+- image-classification
+- rubber-ducks
+- yolo
+annotations_creators:
+- expert-generated
+- machine-generated
+language_creators:
+- found
+size_categories:
+- n<1K
+source_datasets:
+- Norod78/Rubber-Duck-blip-captions
+- linoyts/rubber_ducks
+task_categories:
+- object-detection
+- image-classification
+task_ids:
+- multi-class-image-classification
 dataset_info:
   features:
-  - name: image_path
-    dtype: string
-  - name: detections
-    sequence: string
-  - name: verified
-    dtype: 'null'
+    - name: image_path
+      dtype: string
+    - name: detections
+      sequence: string
+    - name: verified
+      dtype: 'null'
   splits:
-  - name: train
-    num_bytes: 23643
-    num_examples: 192
+    - name: default
+      num_bytes: 23643
+      num_examples: 192
   download_size: 15317
   dataset_size: 23643
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+  configs:
+    - config_name: default
+      path: 
+        - data/*.jpg
+        - data/*.txt
+        - train-00000-of-00001.parquet
 ---
+
+# Rubber Duck Detection Dataset
+
+## Overview
+This dataset contains 192 annotated images of rubber ducks, specifically curated for object detection tasks. It was used for experimentation related to the [YOLOv8n Rubber Duck Detector](https://huggingface.co/brainwavecollective/yolov8n-rubber-duck-detector) model.
+
+NOTE: I DO NOT RECOMMEND USING THIS DATASET AT THIS TIME. There is an open and ongoing discussion around the use of the datasets that were combined for this. See [related licensing discussion on the forum](https://discuss.huggingface.co/t/use-of-unlicensed-hf-datasets/138189)
+
+
+## Dataset Description
+
+### Dataset Summary
+A specialized computer vision dataset featuring rubber ducks with bounding box annotations, designed for training object detection models. The dataset combines and enhances images from two existing datasets with manual verification and standardized annotations.
+
+### Supported Tasks
+- Object Detection
+- Image Classification
+
+### Languages
+Visual data with English annotations
+
+### Dataset Structure
+- Number of examples: 192
+- Download size: 15,317 bytes
+- Dataset size: 23,643 bytes
+
+#### Data Fields
+- `image_path`: Path to the image file
+- `detections`: Bounding box coordinates in YOLO format (normalized)
+- `verified`: Verification status field
+
+#### Data Splits
+- Training set: 192 images
+
+### Source Data
+#### Initial Data Collection and Normalization
+This dataset combines images from two existing datasets:
+- [Norod78/Rubber-Duck-blip-captions](https://huggingface.co/datasets/Norod78/Rubber-Duck-blip-captions)
+- [linoyts/rubber_ducks](https://huggingface.co/datasets/linoyts/rubber_ducks)
+NOTE: these datasets were unlicensed so usage is not clear. See [related licensing discussion on the forum](https://discuss.huggingface.co/t/use-of-unlicensed-hf-datasets/138189)
+
+### Data Format
+Each image has corresponding annotations in two formats:
+1. YOLO text format (.txt files)
+2. Structured format in the parquet file
+
+The YOLO format annotations follow the convention:
+<class> <x_center> <y_center> <width> <height>
+- All values are normalized between 0 and 1
+- Single class: rubber duck
+- Coordinates represent the center point and dimensions of the bounding box
+
+### File Structure
+data/
+├── images/
+│   ├── image_0.jpg
+│   ├── image_1.jpg
+│   └── ...
+├── labels/
+│   ├── image_0.txt
+│   ├── image_1.txt
+│   └── ...
+└── train-00000-of-00001.parquet
+Copy
+## Dataset Creation
+
+### Curation Rationale
+This dataset was created to provide a specialized dataset for rubber duck detection, combining images from existing datasets with standardized annotations. The purpose was to see if we could enhance YOLOv8n to be better at detecting an assortment of rubber ducks.
+
+### Annotations
+Annotations were created using a combination of:
+- Manual annotation
+- Machine-generated predictions with human verification
+- Standardization to YOLO format
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("brainwavecollective/yolo-rubber-ducks")
+```
+
+### Considerations for Using the Data
+
+#### Discussion of Biases
+
+- Dataset focuses specifically on strange rubber ducks
+- Does not represent all possible variations of rubber ducks
+- Limited environmental contexts
+- Most of the images have a marketing focus
+
+### Additional Information
+
+#### Dataset Curators
+
+This dataset was curated by combining and enhancing existing rubber duck datasets with additional annotations and verification.
+
+#### Licensing Information
+
+NOTE: Licensing is currently under review. See [related licensing discussion on the forum](https://discuss.huggingface.co/t/use-of-unlicensed-hf-datasets/138189)
+
+#### Citation Information
+
+If you use this dataset, please cite:
+
+```bibtex
+@misc{rubber-duck-detection,
+  author = {Daniel Ritchie},
+  title = {Rubber Duck Detection Dataset},
+  year = {2025},
+  publisher = {HuggingFace},
+  journal = {HuggingFace Hub},
+  howpublished = {\url{https://huggingface.co/datasets/brainwavecollective/yolo-rubber-ducks}}
+}
+```