Task: Visual Regression License: BSD 3-Clause ClearDocumentation Index
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Description
This dataset has been generated by Edge Impulse teams and contains images of vial tubes filled at different levels with a green liquid. The images in the training set have been captured using 5 different backgrounds. The images in the testing set have been captured using 9 different backgrounds. Thebackground information is available in the metadata of the data samples.
Compatible Blocks
- Feature extraction: Image
- Learning block: Regression
Dataset Details
- Total Data Items: 747
- Labeling Method: single label
- Train/Test Split: 66.67% / 33.33%
| Training Set | Testing Set | |
|---|---|---|
| Total Data Items | 498 | 249 |
| Labels | -1, 0, 0.5, 0.75, 1, 1.25, 1.5, 2 | -1, 0, 0.4, 0.5, 0.7, 0.75, 1, 1.2, 1.25, 1.5, 2 |
Usage
Clone the project in Edge Impulse Studio (recommended)
The fastest way to get started is to clone the public project directly into your Edge Impulse account. This gives you immediate access to the full dataset, a pre-configured impulse, and a trained model — ready to explore or retrain.Clone project in Edge Impulse Studio
Click Clone in the top-right corner of the project page and follow the instructions. A free Edge Impulse account is required.
Download and import
To import the raw dataset into an existing project, download it below. A free Edge Impulse account is required to train models. This dataset uses the Edge Impulse Exporter Format (info.labels). See Edge Impulse labels for more info.
Available import methods:
- Studio uploader
- CLI uploader
- CSV Wizard
- Python SDK
- Ingestion API
- Import from S3 buckets
- Upload portals