| --- |
| license: cc-by-4.0 |
| pretty_name: synthetic image-classification dataset |
| task_categories: |
| - image-classification |
| tags: |
| - image |
| - image-classification |
| - synthetic-data |
| - text-to-image |
| - image-to-image |
| - edge-impulse |
| size_categories: |
| - n<1K |
| --- |
| |
| # Synthetic Image-Classification Dataset |
|
|
| Synthetic image-classification dataset generated with stable diffusion |
| (zerogpu_sdxl_turbo) using **text-to-image from class names + short descriptions**. |
|
|
| ## Classes |
|
|
| | Label | Images | |
| |---|---| |
| | `background` | 20 | |
| | `coffee-mug` | 20 | |
| | `lamp` | 20 | |
|
|
| ## Layout |
|
|
| ```text |
| train/<label>/<label>.<id>.jpg |
| test/<label>/<label>.<id>.jpg |
| metadata.csv |
| ``` |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("imagefolder", data_dir="coffee-lamp") |
| # or, once pushed to the Hub: |
| ds = load_dataset("eoinedge/coffee-lamp") |
| print(ds) |
| ``` |
|
|
| ## Edge Impulse |
|
|
| Filenames use the `label.<id>.jpg` convention, so they upload directly: |
|
|
| ```bash |
| edge-impulse-uploader --category training train/**/*.jpg |
| ``` |
|
|
| ## Notes |
|
|
| Synthetic images are a bootstrap for image-classification models. Validate with |
| real captures from the target device's camera before deployment. |
