Cubes colors on conveyor belt

Task: Object Detection

License: BSD 3-Clause Clear

Dataset Screenshot

Description

This dataset has been collected by Edge Impulse team and used extensively to design the FOMO (Faster Objects, More Objects) object detection architecture.

See FOMO documentation or the announcement blog post.

Compatible Blocks

• Feature extraction: Image

• Learning block: Object Detection

Not sure what to choose? Try out this dataset with the EON Tuner.

Dataset Details

• Total Data Items: 670

• Labeling Method: object detection

• Train/Test Split: 79.70% / 20.30%

	Training Set	Testing Set
Total Data Items	534	136
Labels	blue, green, red, yellow	blue, green, red, yellow

Usage

• Clone the public project

  To clone and use this project, visit the Edge Impulse Studio link, click on the Clone button on the top-right corner and follow the cloning instructions.

• Download

  • Direct link

  • HuggingFace - Soon

  • Kaggle - Soon

• Import this dataset to your Edge Impulse project

  This project uses the Edge Impulse Exporter Format (info.labels). See this documentation page for more info.

  Edge Impulse also supports different data sample formats and dataset annotation formats that you can import into your project to build your edge AI models:

  • Studio uploader

  • CLI uploader

  • CSV Wizard

  • Python SDK

  • Ingestion API

  • Import from S3 buckets

  • Upload portals

Citation

If you use this dataset in your research paper, please cite it using the following BibTeX:

@misc{edgeimpulse_dataset_497627,
    title = {Object Detection - Cubes colors on conveyor belt},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497627/latest},
    note = {Apache 2.0}
}