datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MobileWorld-ProgRM-Rollouts
MobileWorld ProgRM Rollouts
Private training release containing multimodal ProgRM and ORM data derived from
MobileWorld rollouts. The release is intended for reward-model training and
subsequent reinforcement-learning research.
Release
Version: v1.0.0
ProgRM code commit: 875ba94c74a9742e903acaa81895f5685de7eac1 on branch mobileworld
Tasks: 161
Canonical trajectories: 966
Splits: {"test": 161, "train": 644, "val": 161}
Screenshot shards: 11
Run… See the full description on the dataset page: https://huggingface.co/datasets/sharryXR/MobileWorld-ProgRM-Rollouts.Replay_attack_mobile
Liveness Detection Replay Dataset (3K+ Attacks, 1.5K People)
iBeta Level 1 Dataset
Liveness detection dataset of Replay attacks performed on Mobile devices. This dataset consists of 1,500 individuals who provided selfies, followed by 3,000 replay display attacks executed across 15 different mobile devices. These attacks are captured from a diverse range of devices, spanning low, medium, and high-end mobile phones, providing extensive variation in screen types, lighting… See the full description on the dataset page: https://huggingface.co/datasets/AxonData/Replay_attack_mobile.iOS-1K-Mobile-UI-Dataset
MUIAnno:iOS-1K-Mobile-UI-Dataset
Overview
MUIAnno:iOS-1K-Mobile-UI-Dataset is a curated dataset of 1,000 real-world iOS mobile UI screens collected from diverse application categories available on the Apple App Store.
Each screen is paired with human-validated structured JSON ground truth annotations, enabling research in UI understanding, layout analysis, and multimodal modeling.
The dataset includes:
Simple layouts (e.g., login, onboarding screens)
Visually… See the full description on the dataset page: https://huggingface.co/datasets/atharparvezce/iOS-1K-Mobile-UI-Dataset.laion-mobile
LAION-Mobile
A metadata-only, publicly-derivable benchmark of real smartphone photographs,
extracted from re-LAION-5B by EXIF camera
make/model. It is intended for measuring the false-positive rate of
AI-image / deepfake detectors on genuine, ISP-processed phone photos.
Anonymous release. This repository accompanies a double-blind conference
submission. It contains no author or institution information. A
non-anonymised version with full citation will replace it after review.… See the full description on the dataset page: https://huggingface.co/datasets/laionmobile/laion-mobile.Mobile_Phone_Dataset_Smartphone_and_Feature_Phone
Mobile Phone Dataset — Smartphone and Feature Phone (Sample)
⚠️ This is a free sample subset for evaluation purposes only.The full dataset (3,000+ HD images) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset is an extremely challenging collection of original mobile phone images, crowdsourced from over 1,000 urban and rural areas. Every image is manually reviewed and verified by computer vision… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone.mobilemold
MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection
A smartphone-microsope-based dataset with 4941 annotated images for food mold detection
🌟 About MobileMold
MobileMold is a comprehensive dataset comprising 4,941 annotated images for food mold detection, captured using smartphones with various clip-on microscope attachments.
The dataset addresses the growing need for accessible, low-cost food safety monitoring by… See the full description on the dataset page: https://huggingface.co/datasets/nphamdinh/mobilemold.Mobile_path_passability_dataset
Mobile Path Passability Dataset
Описание
Датасет предназначен для экспериментов по сегментации свободного пространства и препятствий на кадрах, снятых с монокулярной RGB-камеры смартфона. Практический сценарий связан с предварительной оценкой проходимости локального пути по изображению от первого лица для мобильной платформы, ассистивного устройства или навигационной системы.
Кадры получены из собственных видеозаписей, снятых в помещениях и на улице. В набор вошли… See the full description on the dataset page: https://huggingface.co/datasets/VasilchikovAV/Mobile_path_passability_dataset.