Bottles rack
Task: Object Detection
License: BSD 3-Clause Clear
Dataset Screenshot
Description
This dataset has been collected by Edge Impulse teams and contains images of bottle racks on different backgrounds and different orientations. It can be used to count the number of beers in the rack. The two labels - empty or full - is used to distinguish if the beer has a cap or not.Compatible Blocks
- Feature extraction: Image
- Learning block: Object Detection
Dataset Details
- Total Data Items: 130
- Labeling Method: object detection
- Train/Test Split: 74.62% / 25.38%
| Training Set | Testing Set | |
|---|---|---|
| Total Data Items | 97 | 33 |
| Labels | empty, full | empty, full |
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 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: