
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
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.
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Download
- Direct link
- HuggingFace - Soon
- Kaggle - Soon
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Import this dataset to your Edge Impulse project
This project 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: