Cubes on conveyor belt (colors)

A labeled image dataset of colored cubes on a conveyor belt, used to design and demonstrate the FOMO object detection architecture.

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 the 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

The dataset can be added to a project in two ways: cloning the dataset public project or downloading the dataset and importing it into another project.

• 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 and import

  • Download link

  This dataset uses the Edge Impulse Exporter Format (info.labels). See Edge Impulse labels for more info.

  Edge Impulse also supports different data acquisition 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 = {BSD 3-Clause Clear}
}