Self Attention - Cubes on conveyor belt

Task: Object Detection

License: BSD 3-Clause Clear

Dataset Screenshot

Description

This dataset, collected by Edge Impulse team, is a variant of the Cubes on Conveyor Belt dataset. It has been used to perform spatial aware object detection using a micro transformer.

Have a look at this blog post for more information: FOMO Self-Attention

Compatible Blocks

• Feature extraction: Image

• Learning block: FOMO (modified in Expert mode)

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

Dataset Details

• Total Data Items: 85

• Labeling Method: object detection

• Train/Test Split: 97.65% / 2.35%

	Training Set	Testing Set
Total Data Items	83	2
Labels	left, right	left, right

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_497628,
    title = {Object Detection - Self Attention - Cubes on conveyor belt},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497628/latest},
    note = {Apache 2.0}
}