datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DeepTumorVQA_2.0
DeepTumorVQA v2
3D abdominal-CT diagnostic Visual Question Answering benchmark with 42
clinical subtypes and 438K total QA pairs (10K curated benchmark + 428K
training pool). Includes pre-extracted 2D and video modalities, 20K agent
training trajectories with tool-use traces, and a paper-locked leaderboard.
Resources
📄 Paper (arXiv)
https://arxiv.org/abs/2605.09679
💻 Code (GitHub)
https://github.com/Schuture/DeepTumorVQA
🤗 Dataset (this… See the full description on the dataset page: https://huggingface.co/datasets/tumor-vqa/DeepTumorVQA_2.0.danbooru2024-webp-4Mpixel
🎨 Danbooru2024 Webp 4MPixel Dataset
📊 Dataset Overview
The Danbooru2024-Webp dataset is a comprehensive collection focused on animation and illustration artwork, derived from the official Danbooru platform. It contains approximately 8.05 million high-quality, user-annotated images with corresponding tags and textual descriptions.
This dataset is 4MP-focused webp resized-dataset of Danbooru2024.
✨ Features
📋 Metadata Support
Includes a Parquet… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/danbooru2024-webp-4Mpixel.central-florida-native-plants
DeepEarth Central Florida Native Plants Dataset v0.2.0
🌿 Dataset Summary
A comprehensive multimodal dataset featuring 33,665 observations of 232 native plant species from Central Florida. This dataset combines citizen science observations with state-of-the-art vision and language embeddings for advancing multimodal self-supervised ecological intelligence research.
Key Features
🌍 Spatiotemporal Coverage: Complete GPS coordinates and timestamps for all… See the full description on the dataset page: https://huggingface.co/datasets/deepearth/central-florida-native-plants.Deepface_Annotated_3K
Deepface Annotated 3K Dataset
Deepface_Annotated_3K is a synthetic facial image dataset containing 3K AI-generated faces from StyleGAN2.Each image is automatically annotated with demographic attributes like:
Age (in years)
Gender (with prediction confidence)
Dominant Race (White, Asian, Latino Hispanic, Indian, etc.)
The dataset is designed for research on fairness, bias detection, demographic classification, and synthetic face representation.
Structure information… See the full description on the dataset page: https://huggingface.co/datasets/Subh775/Deepface_Annotated_3K.AGM
Dataset Card for AGM Dataset
Dataset Summary
The AGM (AGricolaModerna) Dataset is a comprehensive collection of high-resolution RGB images capturing harvest-ready plants in a vertical farm setting. This dataset consists of 972,858 images, each with a resolution of 120x120 pixels, covering 18 different plant crops. In the context of this dataset, a crop refers to a plant species or a mix of plant species.
Supported Tasks
Image classification: plant phenotyping… See the full description on the dataset page: https://huggingface.co/datasets/deep-plants/AGM.Deepfake_dataset_cybersentinal
Dataset Card for OpenFake
OpenFake is a dataset and benchmark for detecting AI-generated images, with a focus on politically and socially salient content where misinformation risk is highest. It pairs real photographs with synthetic counterparts produced by a wide range of frontier proprietary generators, open-source diffusion models, and community fine-tunes. A separate in-the-wild test set is sourced from Reddit to evaluate detector performance on naturally circulated… See the full description on the dataset page: https://huggingface.co/datasets/vjjoshi23/Deepfake_dataset_cybersentinal.deepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/deepfake-detection-dataset-v3.DeepWeeds_classification
Deepweeds Classification
This dataset comprises real-world RGB images capturing various weed species in agricultural field environments. Collected under natural outdoor conditions, the images provide a diverse visual representation of weeds for computer vision applications in precision agriculture. The dataset contains 17,509 images across 9 classes: 0, 1, 2, 3, 4, 5, 6, 7, 8.Images per class:
0: 1,125
1: 1,064
2: 1,031
3: 1,022
4: 1,062
5: 1,009
6: 1,074
7: 1,016
8: 9,106… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/DeepWeeds_classification.selfiekyc_deepfake_detection
selfiekyc_deepfake_detection
Descripción General
Este repositorio contiene el código fuente, datasets procesados y experimentos desarrollados para la detección de imágenes faciales sintéticas o manipuladas mediante Inteligencia Artificial en escenarios de verificación de identidad corporativa tipo selfie-KYC.
El proyecto analiza la robustez de diferentes arquitecturas de Deep Learning frente a degradaciones operativas reales, incluyendo:
Compresión JPEG fuerte… See the full description on the dataset page: https://huggingface.co/datasets/juliopaciello/selfiekyc_deepfake_detection.sankaku-webp-4Mpixel
Sankaku 4M Re-encoded Dataset
This is the re-encoded dataset of deepghs/sankaku_full. And all the resized images are maintained here.
There are 16492859 images in total. The maximum ID of these images is 36864051. Last updated at 2025-01-02 12:41:55 JST.
How to Painlessly Use This
Use cheesechaser to quickly get images from this repository.
Before using this code, you have to grant the access from this gated repository. And then set your personal HuggingFace token into… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/sankaku-webp-4Mpixel.Sap_Kush_Med_Deepfake
Sap_Kush_Med_Deepfake Dataset
Paired medical-image forgery lineages across six modalities. Every lineage is
one source image, one mask, one seed: the arms differ only in what was done
inside the mask, so a comparison between arms isolates the manipulation rather
than an encoding artefact.
3956 lineages, 30385 files, 8.49 GiB.
v2 adds a removal arm grounded in human annotation for three more modalities
(endoscopy, ultrasound, MRI). v1 had removal for CT only.
What the… See the full description on the dataset page: https://huggingface.co/datasets/Kanhaiyya/Sap_Kush_Med_Deepfake.deepmindcodecontestssharegptdeepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/KubasadNisha/deepfake-detection-dataset-v3.deepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/guglothmahipal007/deepfake-detection-dataset-v3.midjourney_captioned_23m_full
Midjourney Captioned Full Dataset
This is the full dataset of Midjourney Captioned 23M dataset. And all the original images are maintained here.
Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous.
Information
Images
There are 23167456 images in total. The maximum ID of these images is 23167456. Last updated at 2024-12-01 12:11:43 UTC.
These are the information of recent 50 images:
id
width
height
filename… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/midjourney_captioned_23m_full.reddit_mostlyhumans_full
Reddit Mostly-Humans Full Dataset
This is the full dataset of reddit_mostlyhumans dataset. And all the original images are maintained here.
Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous.
Information
Images
There are 3863451 images in total. The maximum ID of these images is 3863571. Last updated at 2024-10-26 17:18:31 UTC.
These are the information of recent 50 images:
id
filename
width
height
mimetype… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/reddit_mostlyhumans_full.deepfake-detection-dataset-v2
Deepfake Detection Dataset V2
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images
CAM visualization images
CAM overlay images
Comparison images
Labels (real/fake)
Confidence scores
Image captions
Technical and non-technical… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/deepfake-detection-dataset-v2.deepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/ARPAN2026/deepfake-detection-dataset-v3.deepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/akahana/deepfake-detection-dataset-v3.deepfake-detection-dataset-v3
Deepfake Detection Dataset V3
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images (image)
CAM visualization images (cam_image)
CAM overlay images (cam_overlay)
Comparison images (comparison_image)
Labels (label): Binary… See the full description on the dataset page: https://huggingface.co/datasets/arjunborra123/deepfake-detection-dataset-v3.bangumibase-face-quality-cls
deepghs-cv/bangumibase-face-quality-cls
A 4-class anime face drawing-quality classification dataset (88,000 single-character close-up frames, 818 anime shows), derived from deepghs/bangumibase-webp-4Mpixel_x. Labels are {poor, ok, good, excellent} from face_geo_mean = sqrt(face_w · face_h) after a strict single-face + single-head + face∩head-overlap consistency filter.
⚠ Scope. Every row is a frame from an anime TV-series broadcast. The dataset is intended for training/evaluating… See the full description on the dataset page: https://huggingface.co/datasets/deepghs-cv/bangumibase-face-quality-cls.