edgeimpulse/coffee-lamp

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

train/<label>/<label>.<id>.jpg
test/<label>/<label>.<id>.jpg
metadata.csv

Loading

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:

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.