Datasetpublic

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"… See the full description on the dataset page: https://huggingface.co/datasets/edgeimpulse/coffee-lamp.

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face

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Dataset Card

Synthetic Image-Classification Dataset

Synthetic image-classification dataset generated with stable diffusion (zerogpusdxlturbo) 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.