datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stickers
Telegram Stickers Image Classification Dataset
This dataset consists of a collection of Telegram stickers that have been converted into images for the purpose of image classification.
Dataset Details
Image Size: 512x512 pixels
Number of Classes: 1276
Total Number of Images: 672,911
The dataset was created by extracting stickers from 23,681 sets of stickers in Telegram. Animated and video stickers were removed, and sets that had only one emoji assigned to all stickers… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/stickers.stickers
るりのステッカー
just for fun.
stickers-binary-v2-cleaned
Stickers Binary v2 — Cleaned
Binary SFW/NSFW sticker classification dataset. This version has been cleaned
of likely label errors using cross-validated out-of-fold model predictions
combined with cleanlab's
find_label_issues.
Structure
This dataset has exactly two columns:
Column
Type
Description
image
image
The sticker image, 256x256, letterboxed (see below).
label
int64
0 = SFW, 1 = NSFW.
Class distribution
Split
Count… See the full description on the dataset page: https://huggingface.co/datasets/Pankaj8922/stickers-binary-v2-cleaned.