datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
two-box-judge-gui
Two-Box Judge GUI Dataset
A multimodal dataset for training GUI element selection models. Given two candidate bounding boxes on a GUI screenshot, the model learns to select the one that better fulfills the user's intent.
Dataset Description
This dataset is designed for training judge models in GUI grounding pipelines. When a visual grounding model produces multiple candidate regions, the judge model determines which candidate best matches the user's command.… See the full description on the dataset page: https://huggingface.co/datasets/THU-BoZhang/two-box-judge-gui.mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset… See the full description on the dataset page: https://huggingface.co/datasets/box0602/mvtec-ad.e621-2024
e621-2024
e621-2024 is a large-scale furry image dataset retrieved from e621, a mature furry imageboard. This dataset is heavily inspired by the danbooru2023 dataset.
Similar to danbooru2023, the images in this dataset are bucketed into 1000 subdirectories (0000-0999), which is the E621 ID modulo 1000 (so all images in 0999/ have an ID ending in '999').
Currently there is no loading script for this dataset, so loading it with HuggingFace datasets is not supported.
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/boxingscorpionbagel/e621-2024.e621-2025
e621-2025
e621-2025 is an update to e621-2024, a large-scale furry image dataset retrieved from e621. It contains only the new images uploaded to e621 after the e621-2024 dataset was prepared. A copy of the metadata for the new images is included in metadata/new_posts.parquet.
This dataset was prepared using the daily database export for 2025-07-26. A complete copy of the database export (including updated metadata for images in the e621-2024 dataset) is included in the metadata… See the full description on the dataset page: https://huggingface.co/datasets/boxingscorpionbagel/e621-2025.cardboard-box-anomaly-detection
📦 Cardboard Box Anomaly Detection
Descrição
Este é um dataset focado na detecção de anomalias em caixas de papelão. Ele é composto por 553 imagens capturadas de 43 caixas distintas (13 consideradas normais e 30 anômalas).
As imagens foram coletadas em múltiplos ambientes (chão e duas esteiras diferentes), utilizando múltiplos ângulos e duas câmeras de celular diferentes.
Exemplos do Dataset
Caixas Normais (good)
Chão (loc-chao)
Esteira 1… See the full description on the dataset page: https://huggingface.co/datasets/Gabriel8/cardboard-box-anomaly-detection.BoxingDataset
Boxing Punch Classification Video Dataset
Short video clips of boxing punches, labeled for training vision language models.
Dataset Description
This dataset contains 2278 short video clips extracted from Olympic boxing competition footage,
each labeled with one of 8 punch/action categories. The clips are designed for fine-tuning
vision LLMs like Qwen-VL for boxing action recognition.
Source
Derived from the Olympic Boxing Punch Classification Video Dataset
by… See the full description on the dataset page: https://huggingface.co/datasets/NealBeans/BoxingDataset.epinet_cifar10_logits
Cached CIFAR-10 test logits for the epinet tutorial
Test-set logits for six uncertainty-quantification agents on CIFAR-10, cached so
that the joint-prediction figures in the
lightning-uq-box epinet
tutorial can be rebuilt on CPU in seconds, without a GPU and without retraining
32 ResNets.
Consumed by docs/tutorials/classification/epinet.ipynb.
Contents
File
Description
test_logits.pt
torch.save dict of logit tensors (below)
metrics.csv
Scalar metrics… See the full description on the dataset page: https://huggingface.co/datasets/lightning-uq-box/epinet_cifar10_logits.two-box-judge-gui-sharded
Two-Box Judge GUI Dataset (Sharded)
A multimodal dataset for training GUI element selection models, packaged in WebDataset format for efficient streaming.
Dataset Statistics
Split
Samples
Shards
Size
Train
115,638
6
25.32 GB
Validation
12,849
1
2.82 GB
Format
This dataset uses WebDataset format - sharded tar.gz archives for efficient streaming:
train/
├── shard-00000.tar.gz
├── shard-00001.tar.gz
└── ...
Each shard contains… See the full description on the dataset page: https://huggingface.co/datasets/THU-BoZhang/two-box-judge-gui-sharded.Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.