datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.edgeimpulse-test-image-classification
Edgeimpulse Test Image Classification
This dataset is an integration-test fixture for Edge Impulse's "Import from Hugging Face" flow.
Structure
Splits: train, validation, test
Main fields: image, label
Extra metadata columns (from metadata.csv):
source_split
source_file
source_stem
source_path
Important note
Label source mode: source-metadata.
cubes-on-conveyor-beltThis dataset has been collected by Edge Impulse and used extensively to design the FOMO (Faster Objects, More Objects) object detection architecture. See FOMO documentation or the announcement blog post.
The dataset is composed of 70 images including:
32 blue cubes,
32 green cubes,
30 red cubes
28 yellow cubes
Download link: cubes on a conveyor belt dataset in Edge Impulse Object Detection format.
You can also retrieve this dataset from this Edge Impulse public project.
Data exported from… See the full description on the dataset page: https://huggingface.co/datasets/edgeimpulse/cubes-on-conveyor-belt.