Datasets

DDR - Diabetic Retinopathy Detection Dataset Image: Dataset Samples. The DDR (Diabetic Retinopathy Detection) dataset is a large-scale collection of retinal fundus images designed for training and evaluating algorithms in diabetic retinopathy (DR) grading and lesion-level segmentation. It provides both image-level DR labels and pixel-level annotations of pathological features, making it suitable for… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/DDR-dataset.

CC-Bench: A Cognitive Conflict Benchmark for MLLMs in Safety-Critical Visual Inspection CC-Bench is a joint medical-industrial benchmark for evaluating whether multimodal large language models (MLLMs) remain visually grounded when plausible textual context conflicts with image evidence. The benchmark reorganizes public anomaly datasets into a unified four-way multiple-choice QA format for high-risk visual inspection. This repository currently contains: 4,282 images in total 2,157… See the full description on the dataset page: https://huggingface.co/datasets/annoymous-1/CC-Bench.

Mediach This dataset contains images and videos from russian imageboard 2ch. This dataset contains media files attached to the first post in discussions on the image board. There is another dataset with thread texts, which can be used for solving media label prediction task. Some of the files include NSFW content Prerequisites You need to have lfs and xet installed in your system: sudo emerge --ask dev-vcs/git-lfs curl -sSfL https://hf.co/git-xet/install.sh | sh… See the full description on the dataset page: https://huggingface.co/datasets/zeio/mediach.

Dataset Card for FashionMNIST Dataset Summary Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing… See the full description on the dataset page: https://huggingface.co/datasets/zalando-datasets/fashion_mnist.

HaGRID Gesture Recognition Subset Dataset Description A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models. Dataset Summary Total Images: 19,200 Gesture Classes: 24 Samples per Class: 800 Image Format: JPEG Average Image Size: ~302 KB Splits Split Images Percentage Train 14,592 76% Val 1,728 9% Test 2,880 15% Gesture Classes call… See the full description on the dataset page: https://huggingface.co/datasets/schwein69/hagrid-subset.

TorNet-Temporal: Temporal Dual-Pol NEXRAD Radar for Tornado Detection A large-scale dataset of storm-centered NEXRAD WSR-88D radar sequences for tornado detection and prediction, featuring 24-channel dual-polarimetric data across variable-length temporal sequences. Dataset Summary 24,862 storm events from NEXRAD Level-II radar archives (2013-2022) 8-22 consecutive radar scans per event (~4-5 min cadence, ~45-90 min total; median 13 frames) 24 channels: 6 dual-pol radar… See the full description on the dataset page: https://huggingface.co/datasets/deepguess/tornet-temporal.

Dataset Card for Dataset Name Homepage: https://hazyresearch.stanford.edu/legalbench/ Repository: https://github.com/HazyResearch/legalbench/ Paper: https://arxiv.org/abs/2308.11462 Dataset Description Dataset Summary The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/nguha/legalbench.

Dataset Card for Fish-Visual Trait Analysis (Fish-Vista) Note that the '</Use this dataset>' option will only load the CSV files. To download the entire dataset, including all processed images and segmentation annotations, refer to Instructions for downloading dataset and images. See Example Code to Use the Segmentation Dataset Figure 1. A schematic representation of the different tasks in Fish-Vista Dataset. Instructions for downloading dataset and images… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/fish-vista.

GroMo25: Multiview Time-Series Plant Image Dataset for Age Estimation and Leaf Counting Dataset Summary GroMo25 is a multiview, time-series plant image dataset designed for plant age estimation (in days) and leaf counting tasks in precision agriculture. It contains high-quality images of four crop species — Wheat, Okra, Radish, and Mustard — captured over multiple days under controlled conditions. Each plant is photographed from 24 angles across 5 vertical levels per day… See the full description on the dataset page: https://huggingface.co/datasets/MrigLabIITRopar/GroMo25.

Language-Grounded Sparse Encoder (LanSE) — Training Data This repository hosts the AI-generated images and human annotation datasets accompanying the paper: Human-like Content Analysis for Generative AI with Language-Grounded Sparse Encoders Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Yingtao Zhu, Ye Zhang, Trang Nguyen, Yih-Chung Tham, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu National University of Singapore · Tsinghua University · Stanford University ·… See the full description on the dataset page: https://huggingface.co/datasets/DesmondYMTang2024/Language-Grounded_Sparse_Encoder_Training.

TempoFunk Small 7.8k samples of metadata and encoded latents & prompts of random videos. Data format Video frame latents Numpy arrays 120 frames, 512x512 source size Encoded shape (120, 4, 64, 64) CLIP (openai) encoded prompts Video description (as seen in metadata) Encoded shape (77,768) Video metadata as JSON (description, tags, categories, source URL, etc.)

CrisisMMD: Multimodal Twitter Datasets from Natural Disasters The CrisisMMD multimodal Twitter dataset consists of several thousand manually annotated tweets and images collected during seven major natural disasters, including earthquakes, hurricanes, wildfires, and floods from 2017. The dataset includes three types of annotations: On HuggingFace, we hosted version 2.0 of the CrisisMMD dataset. Please see further information below. Disaster Response Tasks Task 1:… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/CrisisMMD.

Yet another mirror for FSC147 counting dataset All credits go to https://github.com/cvlab-stonybrook/LearningToCountEverything

GAMMA — Glaucoma grading from Multi-Modality imAges (Challenge dataset) Image: Dataset Samples. Short description GAMMA is the first public multi-modality glaucoma grading dataset that pairs 2D color fundus photographs with 3D OCT volumes for each sample. It was released as part of the GAMMA challenge (OMIA8 / MICCAI 2021) to encourage algorithms that combine fundus and OCT information for… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/GAMMA.

Model Card for HEST-1k What is HEST-1k? A collection of 1,276 spatial transcriptomic profiles, each linked and aligned to a Whole Slide Image (with pixel size < 1.15 µm/px) and metadata. HEST-1k was assembled from 180 public and internal cohorts encompassing: 26 organs 2 species (Homo Sapiens and Mus Musculus) 398 cancer samples from 25 cancer types. HEST-1k processing enabled the identification of >1.5 million expression/morphology pairs and >76 million nuclei… See the full description on the dataset page: https://huggingface.co/datasets/MahmoodLab/hest.

Dataset Card for Fotoyu Album Archive This dataset stores photo and video collections archived from Fotoyu albums using the potoyu-tree-downloader application. It is designed to act as a high-speed Cloudflare-backed CDN for serving static media assets, as well as providing a dataset for image/video classification and machine learning model training. Dataset Details Dataset Description The dataset aggregates scraped photo galleries and video albums… See the full description on the dataset page: https://huggingface.co/datasets/TierKun/Indonesian-running-photos.

Zendo Synthetic Visual Reasoning Dataset Synthetic Zendo-style scenes with associated rules and per-scene tensor representations. Each scene either follows ("positive", label=1) or violates ("negative", label=0) a rule that is given in natural language and as a Prolog query. Splits split scenes train 56475 test 3344 rules total 3439 Layout images/<split>/<batch>/<rule_id>/<scene_id>.png — rendered scene… See the full description on the dataset page: https://huggingface.co/datasets/sophia1ch/zendo-synthetic-data.

Dataset Card for Food-101 Dataset Summary This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/ethz/food101.

MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging This is the MR-RATE-coreg repository, part of the MR-RATE dataset release. It contains co-registered MRI volumes in which all imaging volumes within each study have been spatially aligned to a common T1-weighted reference frame. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE-coreg.

MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging This is the MR-RATE-atlas repository, part of the MR-RATE dataset release. It contains atlas-registered MRI volumes in which all imaging sequences within each study have been spatially normalized to a standard atlas-space. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please refer to… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE-atlas.