Cans on conveyor belt

Task: Object Detection

License: Apache 2.0

Dataset Screenshot

Description

This dataset has been synthetically generated by Edge Impulse teams using NVIDIA Omniverse and Edge Impulse Omniverse Extension.

You can also have a look at this tutorial created by Edge Impulse expert George Igwegbe to create a synthetic dataset using NVIDIA Omniverse Replicator.

Compatible Blocks

• Feature extraction: Image

• Learning block: Object Detection, NVIDIA TAO,

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

Dataset Details

• Total Data Items: 101

• Labeling Method: object detection

• Train/Test Split: 78.22% / 21.78%

	Training Set	Testing Set
Total Data Items	79	22
Labels	Can	Can

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 (Enterprise feature)

Citation

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

@misc{edgeimpulse_dataset_497676,
    title = {Object Detection - Cans on conveyor belt},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497676/latest},
    note = {Apache 2.0}
}