datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagenet-1k
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are… See the full description on the dataset page: https://huggingface.co/datasets/ILSVRC/imagenet-1k.tiny-imagenet
Dataset Card for tiny-imagenet
Dataset Summary
Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images, and 50 test images.
Languages
The class labels in the dataset are in English.
Dataset Structure
Data Instances
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64 at 0x1A800E8E190,
'label': 15
}… See the full description on the dataset page: https://huggingface.co/datasets/zh-plus/tiny-imagenet.imagenet1k-256-wdsThis is imagenet1k in webdataset format. Images are stored as jpg files. Every image has been resized to a maximum side length of 256. That means that if an image in the original dataset was 1000 by 500, the new size will be 256 by 128. Images with a maximum side length of under 256 were not resized.
The total size of all dataset files is 57.8 GB, there are 1,281,167 rows in the training split and 50,000 rows in the validation split.
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.imagenet_sketchImageNet-Sketch data set consists of 50000 images, 50 images for each of the 1000 ImageNet classes.
We construct the data set with Google Image queries "sketch of __", where __ is the standard class name.
We only search within the "black and white" color scheme. We initially query 100 images for every class,
and then manually clean the pulled images by deleting the irrelevant images and images that are for similar
but different classes. For some classes, there are less than 50 images after manually cleaning, and then we
augment the data set by flipping and rotating the images.imagenet-1k-256x256
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling.
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-256x256.imagenet-100
Dataset Card for ImageNet-100
ImageNet-100 is a subset of the original ImageNet-1k dataset containing 100 randomly selected classes. In addition, the images have been resized to 160 pixels on the shorter side.
Homepage: https://github.com/HobbitLong/CMC
Paper: https://arxiv.org/abs/1906.05849
Dataset Structure
Data Instances
An example looks like below:
{
'image': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=160x213>,
'label': 0
}… See the full description on the dataset page: https://huggingface.co/datasets/clane9/imagenet-100.mini-imagenet
Dataset Description
A mini version of ImageNet-1k with 100 of 1000 classes present.
Unlike some 'mini' variants this one includes the original images at their original sizes. Many such subsets downsample to 84x84 or other smaller resolutions.
Data Splits
Train
50000 samples from ImageNet-1k train split
Validation
10000 samples from ImageNet-1k train split
Test
5000 samples from ImageNet-1k validation split (all 50 samples per class)… See the full description on the dataset page: https://huggingface.co/datasets/timm/mini-imagenet.imagenet-22k-wds
Dataset Summary
This is a copy of the full ImageNet dataset consisting of all of the original 21841 clases. It also contains labels in a separate field for the '12k' subset described at at (https://github.com/rwightman/imagenet-12k, https://huggingface.co/datasets/timm/imagenet-12k-wds)
This dataset is from the original fall11 ImageNet release which has been replaced by the winter21 release which removes close to 3000 synsets containing people, a number of these are of an offensive… See the full description on the dataset page: https://huggingface.co/datasets/timm/imagenet-22k-wds.imagenet-1k-wds
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated.
💡… See the full description on the dataset page: https://huggingface.co/datasets/timm/imagenet-1k-wds.imagenet-1k
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format, with no arbitrary code execution. Images were not resampled.
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k.imagenet-1k-vl-enriched
Visualize on Visual Layer
Imagenet-1K-VL-Enriched
An enriched version of the ImageNet-1K Dataset with image caption, bounding boxes, and label issues!
With this additional information, the ImageNet-1K dataset can be extended to various tasks such as image retrieval or visual question answering.
The label issues helps to curate a cleaner and leaner dataset.
Description
The dataset consists of 6 columns:
image_id: The original filename of the image from… See the full description on the dataset page: https://huggingface.co/datasets/visual-layer/imagenet-1k-vl-enriched.imagenet-1k-64x64
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-256x256
Images were then rescaled to 128x128 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-128x128.
Images were… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-64x64.ImageNet-A
Dataset Card for ImageNet-A
This is a FiftyOne dataset with 7450 samples.
The recipe notebook for creating this FiftyOne Dataset can be found here.
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 = fouh.load_from_hub("Voxel51/ImageNet-A")
# Launch the App
session… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/ImageNet-A.imagenetteImagenette is a subset of 10 easily classified classes from Imagenet
(tench, English springer, cassette player, chain saw, church, French
horn, garbage truck, gas pump, golf ball, parachute).imagenet-1k-128x128
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at benjamin-paine/imagenet-1k-256x256
Images were then rescaled to 128x128 using Lanczos resampling.
Dataset Card for ImageNet
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/imagenet-1k-128x128.TTA-ImageNet-C
TTA-ImageNet-C
Mirror of ImageNet-C (Hendrycks & Dietterich, ICLR 2019) with a revision
pin for reproducible test-time adaptation evaluation.
Upstream: Zenodo record 2235448
License: CC BY 4.0 (matches upstream)
Maintained as part of: TTA-Evaluation-Harness
Citation
@inproceedings{hendrycks2019benchmarking,
title={Benchmarking Neural Network Robustness to Common Corruptions and Perturbations},
author={Hendrycks, Dan and Dietterich, Thomas},
booktitle={ICLR}… See the full description on the dataset page: https://huggingface.co/datasets/WNJXYK/TTA-ImageNet-C.ImageNet-D
Dataset Card for ImageNet-D
This is a FiftyOne dataset with 4838 samples.
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 = fouh.load_from_hub("Voxel51/ImageNet-D")
# Launch the App
session = fo.launch_app(dataset)
Dataset Description
ImageNet-D is a new… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/ImageNet-D.ImageNet-O
Dataset Card for ImageNet-O
This is a FiftyOne dataset with 2000 samples.
The recipe notebook for creating this dataset can be found here.
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 = fouh.load_from_hub("Voxel51/ImageNet-O")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/ImageNet-O.imagenet-hard-4K
Dataset Card for "Imagenet-Hard-4K"
Project Page - Paper - Github
ImageNet-Hard-4K is 4K version of the original ImageNet-Hard dataset, which is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their… See the full description on the dataset page: https://huggingface.co/datasets/taesiri/imagenet-hard-4K.imagenet-1k-adm-crop-256
ImageNet-1k ADM Crop 256
This dataset is a preprocessed version of ILSVRC/imagenet-1k with all images center-cropped to 256×256 pixels using the ADM (Ablated Diffusion Model) algorithm.
🎯 Purpose
Optimized for training diffusion models and other generative models that require fixed-size square images.
📊 Dataset Details
Split
Images
Files
Size (approx)
train
1,281,167
294
~38 GB
test
50,000
28
~3.5 GB
🔧 Processing Method… See the full description on the dataset page: https://huggingface.co/datasets/Holasyb918/imagenet-1k-adm-crop-256.mini_imagenet
Dataset Card for "mini_imagenet"
More Information needed
imagenet-w21-webp-wds
Dataset Summary
This is a copy of the full Winter21 release of ImageNet in webdataset tar format with WEBP encoded images. This release consists of 19167 classes, 2674 fewer classes than the original 21841 class Fall11 release of the full ImageNet.
The classes were removed due to these concerns: https://www.image-net.org/update-sep-17-2019.php
This is the same contents as https://huggingface.co/datasets/timm/imagenet-w21-wds but encoded in webp at ~56% of the size, shard count… See the full description on the dataset page: https://huggingface.co/datasets/timm/imagenet-w21-webp-wds.imagenet-256-flux2-vae-latents
ImageNet-256 FLUX.2 VAE Latents
Pre-computed deterministic, model-facing encodings from the
FLUX.2 VAE (black-forest-labs/FLUX.2-dev)
for the full ImageNet-1K training set at 256x256 resolution, stored as Parquet
shards. Each example includes latents for both the original and horizontally
flipped image, enabling flip augmentation without re-encoding at training time.
Dataset Description
Each example contains:
Column
Shape
Stored type
Description… See the full description on the dataset page: https://huggingface.co/datasets/yuanchenyang/imagenet-256-flux2-vae-latents.imagenet-1k-256x256
Repack Information
This repository contains a complete repack of ILSVRC/imagenet-1k in Parquet format with the following data transformations:
Images were center-cropped to square to the minimum height/width dimension.
Images were then rescaled to 256x256 using Lanczos resampling.
Dataset Card for ImageNet
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in… See the full description on the dataset page: https://huggingface.co/datasets/gaohongfa/imagenet-1k-256x256.imagenet-12k-wds
Dataset Summary
This is a filtered copy of the full ImageNet dataset consisting of the top 11821 (of 21841) classes by number of samples. It has been used to pretrain a number of in12k models in timm.
The code and metadata for building this dataset from the original full ImageNet can be found at https://github.com/rwightman/imagenet-12k
NOTE: This subset was filtered from the original fall11 ImageNet release which has been replaced by the winter21 release which removes close to… See the full description on the dataset page: https://huggingface.co/datasets/dark-xet/imagenet-12k-wds.imagenet-1k-wds
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated.
💡… See the full description on the dataset page: https://huggingface.co/datasets/dark-xet/imagenet-1k-wds.Urban-ImageNet
🏙️ Urban-ImageNet
A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception from Social Media Imagery.
Urban-ImageNet fills a critical gap between computer vision and urban studies by treating cities not simply as visual scenes, but as lived, socially produced, and experientially activated spaces.
Overview
ImageNet taught models to recognise objects. Urban-ImageNet teaches them to understand how people experience cities.… See the full description on the dataset page: https://huggingface.co/datasets/Yiwei-Ou/Urban-ImageNet.imagenet-ul
Dataset Description
"ImageNet Unique Label" (imagenet-ul) contains 5942 classes, which contains about 1 million images.
The data undergoes a multi-step filtering process:
To ensure that all classes are not encountered during the pretraining of the vision model,
To prevent the sharing of labels between two image classes,
To exclude hyponyms from the label set,
To ensure that each class contains at least 100 images.
It is a subset of ImageNet dataset (Russakovsky, O., Deng, J., Su… See the full description on the dataset page: https://huggingface.co/datasets/jaagli/imagenet-ul.imagenet-32
Downsampled ImageNet Dataset
The downsampled ImageNet dataset with 32x32. Original implementation can be found at https://patrykchrabaszcz.github.io/Imagenet32/.
The dataset contain exactly the same number of images as the original ImageNet, i.e.,
1,281,167 training images from 1,000 classes and 50,000 validation images with 50 images per class.
Citation
@inproceedings{deng2009imagenet,
title={Imagenet: A large-scale hierarchical image database},
author={Deng, Jia and… See the full description on the dataset page: https://huggingface.co/datasets/ChocolateDave/imagenet-32.