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Datasets:
brainwavecollective
/
yolo-rubber-ducks

Tasks:
Object Detection
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
n<1K
Tags:
computer-vision
object-detection
image-classification
rubber-ducks
yolo
Dataset card Files Community
1
Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    HfHubHTTPError
Message:      504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/brainwavecollective/yolo-rubber-ducks/revision/a5e2a9a591482a43d6966b6300814164978bb438

<html>
<head><title>504 Gateway Time-out</title></head>
<body>
<center><h1>504 Gateway Time-out</h1></center>
</body>
</html>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 211, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 277, in get_dataset_config_info
                  builder = load_dataset_builder(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1853, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1024, in get_module
                  standalone_yaml_path = cached_path(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 178, in cached_path
                  resolved_path = huggingface_hub.HfFileSystem(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 175, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 121, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2682, in repo_info
                  return method(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2540, in dataset_info
                  hf_raise_for_status(r)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/brainwavecollective/yolo-rubber-ducks/revision/a5e2a9a591482a43d6966b6300814164978bb438
              
              <html>
              <head><title>504 Gateway Time-out</title></head>
              <body>
              <center><h1>504 Gateway Time-out</h1></center>
              </body>
              </html>

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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 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

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:

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:

  • 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 

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

Citation Information

If you use this dataset, please cite:

@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}}
}
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