datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagenet_1k_resized_256
Dataset Card for "imagenet_1k_resized_256"
Dataset summary
The same ImageNet dataset but all the smaller side resized to 256.
A lot of pretraining workflows contain resizing images to 256 and random cropping to 224x224, this is why 256 is chosen.
The resized dataset can also be downloaded much faster and consume less space than the original one.
See here for detailed readme.
Dataset Structure
Below is the example of one row of data. Note that the labels in… See the full description on the dataset page: https://huggingface.co/datasets/evanarlian/imagenet_1k_resized_256.resisc45
RESISC45
Overview
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset('tanganke/resisc45')
Dataset Information
The dataset is divided into the following splits:
Training set: Contains 18,900 examples, used for model training.
Test set: Contains 6,300 examples, used for model evaluation and benchmarking.
The dataset also includes the following augmented sets, which can be used for testing the model's robustness to… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/resisc45.resisc45
Description
RESISC45 dataset is a publicly available benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class.
The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here… See the full description on the dataset page: https://huggingface.co/datasets/timm/resisc45.redcaps5m_resizedUniCACRESIDE-ITS
RESIDE-ITS: Indoor Training Set for Single Image Dehazing (Unofficial Mirror)
Unofficial redistribution of RESIDE's ITS (Indoor Training Set) subset, from Li et al.'s RESIDE benchmark (IEEE TIP 2019), packaged for direct use with ClearView's dataset pipeline. Synthetic indoor haze pairs: one clean photograph, ten hazed variants rendered against it at different scattering coefficients.
Disclaimer
This repository is not an official release of RESIDE.… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/RESIDE-ITS.rl-game-traces-resident-evil-4-remake
生化危机4重制版
This public dataset repository contains gameplay trace data uploaded from F:\生化危机4重制版.
Contents
Files: 199
Total local size: 131.17 GB
Generated: 2026-06-13T19:51:14+00:00
File Types
.jsonl: 59
.png: 48
.json: 47
.parquet: 15
.mkv: 15
.txt: 15
Notes
This repository may contain gameplay video, Parquet files, JSON/JSONL metadata, and input event logs.
The license is marked as other; review game footage, audio, and asset… See the full description on the dataset page: https://huggingface.co/datasets/yinhuankuang/rl-game-traces-resident-evil-4-remake.So-Fake-Set-Resized-224birds-57-ProtBySubsystems-resize-512RESISC45
Remote Sensing Image Scene Classification (RESISC45) Dataset
Paper Remote Sensing Image Scene Classification: Benchmark and State of the Art
Paper with code: RESISC45
Description
The RESISC45 dataset is a scene classification dataset that focuses on RGB images extracted using Google Earth. This dataset comprises a total of 31,500 images, with each image having a resolution of 256x256 pixels. RESISC45 contains 45 different scene classes, with 700 images per… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/RESISC45.RESIDE-6Kresisc45Redistributed from https://drive.google.com/file/d/1DnPSU5nVSN7xv95bpZ3XQ0JhKXZOKgIv without modification. Only converted the RAR file to a ZIP file. Please cite https://doi.org/10.1109/jproc.2017.2675998 if you use this dataset. The train-val-test split files come from https://arxiv.org/abs/1911.06721.
qwen3-resize-easyr1-110k-bbox0p05-remove-pixmo-uground-seeclickwds_vtab-resisc45NWPU-RESISC45
Dataset Card for "NWPU-RESISC45"
Licensing Information
[CC-BY-SA]
Citation Information
Remote sensing image scene classification: Benchmark and state of the art
@article{cheng2017remote,
title = {Remote sensing image scene classification: Benchmark and state of the art},
author = {Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year = 2017,
journal = {Proceedings of the IEEE},
publisher = {IEEE},
volume = 105… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/NWPU-RESISC45.american-residential-housing-hunyuan3d-glb
American Building Hunyuan3D GLB Assets
This dataset contains 40 generated American building assets:
10 residential buildings
15 office buildings
15 industrial buildings
Each asset includes:
source_images/*.png: isolated building reference image on a white background.
glbs/*.glb: final textured GLB generated with Hunyuan3D-2.1.
metadata/*.json: per-asset generation parameters and timings.
verification_summary.json: automated validation summary for all final GLBs.… See the full description on the dataset page: https://huggingface.co/datasets/wchen99998/american-residential-housing-hunyuan3d-glb.lewm-vjepa21-state-moe-shared-residual-wo-tokencl-analysis
LEWM V-JEPA2.1 State-MoE Shared-Residual Analysis
This dataset contains PNG visualizations and adjacent-epoch absolute-delta
summaries for the experiment
lewm_reasoning_vjepa21_vitL_tokens_100tasks_stateMoE_sharedResidual_pair_topkExcess_flat_headaware_woTokenCL_modify.
Contents
metadata.csv: parsed stage, epoch, layer, condition, scope, and image paths.
gallery_manifest.json: manifest consumed by the companion Static HTML Space.
summary.json: aggregate image… See the full description on the dataset page: https://huggingface.co/datasets/zoeloopy/lewm-vjepa21-state-moe-shared-residual-wo-tokencl-analysis.megalith-qa-resizedai-residency-blog-data
AI Residency — blog toy data
Small slices of the datasets used by the nine systems in
RoshBeed/ai-residency, cut down so the
toy models in the posts on roshbeed.com train in seconds on a
GitHub Actions runner.
Every post pins a commit revision of this dataset rather than tracking main, so a
figure on the site cannot change because something here did.
path
what it is
source
text8/text8-2m.txt
first 2,000,000 characters of text8
roshbeed/ai-residency-text8… See the full description on the dataset page: https://huggingface.co/datasets/roshbeed/ai-residency-blog-data.libero-residualThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "panda",
"total_episodes": 432,
"total_frames": 52970,
"total_tasks": 10,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:432"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/keitokobayashi/libero-residual.wikiart-resized
Dataset Card for "wikiart-resized"
More Information needed
reside-SOTSNIH-Chest-X-ray-dataset_resized300pxControlnet_dart_v2_sft_img_resizeGeoChat-NWPU-RESISC45resisc45
Description
RESISC45 dataset is a publicly available benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class.
The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here… See the full description on the dataset page: https://huggingface.co/datasets/mteb/resisc45.lewm-state-moe-shared-residual-wo-tokencl-jepa-top2-analysis
LEWM JEPA Top-2 State-MoE Analysis
This dataset contains PNG visualizations and adjacent-epoch absolute-delta
summaries for the experiment
100tasks_stateMoE_sharedResidual_pair_topkExcess_flat_headaware_woTokenCL_modify_jepa_top2.
Contents
metadata.csv: parsed stage, epoch, layer, condition, scope, and image paths.
gallery_manifest.json: manifest consumed by the companion Static HTML Space.
summary.json: aggregate image counts.
summaries/*.csv: train, validation… See the full description on the dataset page: https://huggingface.co/datasets/zoeloopy/lewm-state-moe-shared-residual-wo-tokencl-jepa-top2-analysis.noob_top35kartists_Panchovix_resized
noob_top35kartists resized online preview
This resized versoin of a large dataset of images from the Panchovix/noob_top35kartists repository.
Civit.ai model: NoobAI-XL EPS 1.0 Vwe by Laxhar Dream Lab
To access the image previews, see the 👉index.md👈 file.
sumerian-lineart-padded-resized-augAI-vs-Deepfake-vs-Real-Resized-Aug
🧠 AI vs Deepfake vs Real — Processed Version
This dataset is the result of preprocessing and augmentation applied to the original datasetprithivMLmods/AI-vs-Deepfake-vs-Real.
📘 Overview
This dataset contains a collection of images categorized into three main classes:
🟩 AI-generated
🟥 Deepfake
🟦 Real (authentic human faces)
It is designed for image classification tasks that aim to distinguish between AI-generated, deepfake, and real faces.… See the full description on the dataset page: https://huggingface.co/datasets/chintalaswathi/AI-vs-Deepfake-vs-Real-Resized-Aug.