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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Object Detection - Bottles rack
About this project
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
Not sure what to choose? Try out this dataset with the EON Tuner.
This project has no trained model yet.
Dataset summary
Data collected
130 itemsLabels
empty, fullProject info
| Project ID | 497424 |
| Project version | 5 |
| License | BSD 3-Clause Clear |
| No. of views | 19,799 |
| No. of clones | 15 |
