datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.emnist-letters-tiny
Dataset Card for EMNIST-Letters-10k
A random subset of the train and test splits from the letters portion of EMNIST
This is a FiftyOne dataset with 10000 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/emnist-letters-tiny.Tiny-GenImage
Tiny GenImage Dataset
📝 Dataset Description
Dataset Summary
The Tiny GenImage Dataset is a curated, scaled-down collection of images and associated metadata designed to train, validate, and benchmark models for detecting and identifying artificially generated content. The dataset contains a mix of real-world images alongside those generated by prominent AI models, including various diffusion models (like Stable Diffusion 1.4/1.5, GLIDE, Midjourney, ADM, VQDM… See the full description on the dataset page: https://huggingface.co/datasets/TheKernel01/Tiny-GenImage.plantvillage-tiny
PlantVillage (tiny)
This is a debug-grade subset, not a faithful subsample for analysis.
50 images per class drawn from the full PlantVillage dataset is too few
to represent class-level visual diversity. Use it for iterating on
training-loop code, smoke-testing pipelines, or any situation where you
want the data structure but not the data scale. For actual classifier
training or evaluation, use
geraldmc/plantvillage-full.
What's in this dataset
A stratified subsample… See the full description on the dataset page: https://huggingface.co/datasets/geraldmc/plantvillage-tiny.neuralatlas-attributions-convnext_tiny
Neural Atlas attributions — convnext_tiny on imagenet-pico
Precomputed attribution maps and faithfulness metrics for the torchvision
convnext_tiny model (default pretrained weights, no fine-tuning) on imagenet-pico,
a 3000-image subset of ImageNet-1k with three images for each of the 1000
classes.
This repository is part of Neural Atlas, a web tool for comparing
attribution methods across vision architectures on the same image, developed
as an undergraduate thesis at the… See the full description on the dataset page: https://huggingface.co/datasets/Matgc04/neuralatlas-attributions-convnext_tiny.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/mteb/tiny-imagenet.SMAT-Tiny-Demo
SMAT: tiny notebook data
Fixed, balanced subsets for the SMAT demonstration.
Code and notebook.
These are illustrative demo subsets, not the paper's benchmark splits.
Two tasks: CIFAR-10 object recognition and SVHN cropped digit recognition.
Each task has 2,000 training, 500 development and 2,000 test images.
The notebook uses the frozen recipe and does not search on development data.
train.npz, dev.npz, and test.npz contain cifar10_images, cifar10_labels,
svhn_images, and… See the full description on the dataset page: https://huggingface.co/datasets/yanggangu/SMAT-Tiny-Demo.tiny-imagenet-200-clean
Dataset Card for tiny-imagenet-200-clean
Dataset Summary
The original Tiny ImageNet contained 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.
This clean version removed grey scale images and only kept RGB images.
Languages
The class labels in the dataset are in English.
Dataset Structure
Data Instances
{
'image':… See the full description on the dataset page: https://huggingface.co/datasets/slegroux/tiny-imagenet-200-clean.edge-inference-benchmarks
TinyEdge edge-inference benchmarks
Independently measured latency and accuracy for well-known vision models on
real edge devices (phones, tablets — fleet growing), produced by
TinyEdge, a device cloud for edge-AI benchmarking.
Nothing here is taken from papers or spec sheets: every row is a job executed
on the physical device through TinyEdge's production agent, with accuracy
measured on a fixed 500-image stratified sample of
ImageNet-V2 (matched-frequency)
using a standardized… See the full description on the dataset page: https://huggingface.co/datasets/TinyEdge/edge-inference-benchmarks.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/thethinkmachine/tiny-imagenet.plantvillage-tiny
PlantVillage (tiny)
This is a debug-grade subset, not a faithful subsample for analysis.
50 images per class drawn from the full PlantVillage dataset is too few
to represent class-level visual diversity. Use it for iterating on
training-loop code, smoke-testing pipelines, or any situation where you
want the data structure but not the data scale. For actual classifier
training or evaluation, use
geraldmc/plantvillage-full.
What's in this dataset
A stratified… See the full description on the dataset page: https://huggingface.co/datasets/sriyaayayaay/plantvillage-tiny.radgenome-ct-reshaped-tiny
RadGenome ChestCT Reshaped Tiny Dataset
This dataset contains resized chest CT scans from the RadGenome-ChestCT dataset.
Dataset Details
Original Resolution: 900x900xN
Resized Resolution: 300x300xN
Format: NIfTI (.nii.gz)
Number of Volumes: 253
Space Reduction: ~89% (resized to 1/9th of original spatial dimensions)
Dataset Structure
Each entry contains:
volumename: Name of the CT volume file (string)
anatomy: Anatomical region information (string)
sentence:… See the full description on the dataset page: https://huggingface.co/datasets/nahidhasan/radgenome-ct-reshaped-tiny.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… See the full description on the dataset page: https://huggingface.co/datasets/james0256/tiny-imagenet.plantdoc-tiny
PlantDoc — tiny variant
Warning: this is a debug-grade subset, not a faithful subsample for analysis. Use it for test suites, smoke tests, and notebook iteration. For substantive work, use geraldmc/plantdoc-full.
A 164-image stratified subsample of geraldmc/plantdoc-full, built to support fast iteration. Loading is roughly a 50 MB download instead of ~950 MB, and a pass over the dataset takes seconds rather than minutes.
Quick start
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/geraldmc/plantdoc-tiny.plantdoc-tiny
PlantDoc — tiny variant
Warning: this is a debug-grade subset, not a faithful subsample for analysis. Use it for test suites, smoke tests, and notebook iteration. For substantive work, use geraldmc/plantdoc-full.
A 164-image stratified subsample of geraldmc/plantdoc-full, built to support fast iteration. Loading is roughly a 50 MB download instead of ~950 MB, and a pass over the dataset takes seconds rather than minutes.
Quick start
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/yashigupta1dev/plantdoc-tiny.Self-distill-logits-convnext-tiny
ConvNeXt-Tiny experiments — results and prediction archive
Access is configured. The full artifact migration is not complete. This initial publication contains the verified retained-checkpoint/prediction audit and the immutable report-source index, not the bulk checkpoints or full-logit arrays.
Published evidence
Contents
Verified before/after audit
Exact pretrained and epoch-5 random-KL checkpoint identities; 50,000 aligned prediction rows; 78.824% → 79.868%… See the full description on the dataset page: https://huggingface.co/datasets/dlsmarta/Self-distill-logits-convnext-tiny.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/minhqngo/tiny-imagenet.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/Sophie53/tiny-imagenet.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/Shopquinnco/tiny-imagenet.tiny-imagenet-200-clean
Dataset Card for tiny-imagenet-200-clean
Dataset Summary
The original Tiny ImageNet contained 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.
This clean version removed grey scale images and only kept RGB images.
Languages
The class labels in the dataset are in English.
Dataset Structure
Data Instances
{
'image':… See the full description on the dataset page: https://huggingface.co/datasets/shuqike/tiny-imagenet-200-clean.