datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ATRNet-STAR
This is the official repository for the dataset “ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild”. If you find our work is useful, please give us a like 🌟 and cite our paper in the BibTex format at the end.
Confirmation of Terms of Use: By accessing and using this dataset, you agree to comply with the following terms and conditions:
Research-Only Use: The dataset shall be used exclusively for research purposes. Commercial… See the full description on the dataset page: https://huggingface.co/datasets/waterdisappear/ATRNet-STAR.HaSPeR
HᴀSPᴇR: An Image Repository for Hand Shadow Puppet Recognition
This repository contains the code, data, and models of the paper titled "HᴀSPᴇR: An Image Repository for Hand Shadow Puppet Recognition" accepted in the Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (WCCA Oral).
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Data Directory
Please navigate to the Hugging Face repository… See the full description on the dataset page: https://huggingface.co/datasets/Starscream-11813/HaSPeR.getting-started-labeled-validation
Dataset Card for validation_photos
This is a FiftyOne dataset with 143 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 = load_from_hub("TheSteve0/getting-started-labeled-validation")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/getting-started-labeled-validation.getting-started-validation-clip-pred
Dataset Card for labeled_validation_predicted_clip
This is a FiftyOne dataset with 143 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 = load_from_hub("TheSteve0/getting-started-validation-clip-pred")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/getting-started-validation-clip-pred.getting-started-labeled-photos
Dataset Card for predicted_labels
These photos are used in the FiftyOne getting started webinar. The images have a prediction label where were generated by
self-supervised classification through a OpenClip Model.
https://github.com/thesteve0/fiftyone-getting-started/blob/main/5_generating_labels.py
They were then manually cleaned to produce the ground truth label.
https://github.com/thesteve0/fiftyone-getting-started/blob/main/6_clean_labels.md
They are 300 public domain photos… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/getting-started-labeled-photos.tactile-mnist-touch-starstruck-syn-single-t32-320x240Documentation is available at https://github.com/TimSchneider42/tactile-mnist/blob/main/doc/datasets.md#touch-datasets.
typhoon-intensity-classification
Typhoon - Image Classification Dataset
This dataset comes from PTIT AI Challenge and is organized for a multi-class image classification task focusing on tropical cyclone (typhoon) intensity estimation.
Dataset Structure
The directory structure is organized as follows:
train/
├── images/
│ ├── image1.jpg
│ └── ...
└── annotations.csv (only present in the train folder)
The public_test and private_test sets are used to evaluate and score the… See the full description on the dataset page: https://huggingface.co/datasets/star092304/typhoon-intensity-classification.autotrain-data-bwpages-start-only
AutoTrain Dataset for project: bwpages-start-only
Dataset Description
This dataset has been automatically processed by AutoTrain for project bwpages-start-only.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<257x426 1 PIL image>",
"target": 1
},
{
"image": "<269x380 1 PIL image>",
"target": 3
}]… See the full description on the dataset page: https://huggingface.co/datasets/rdmpage/autotrain-data-bwpages-start-only.starganv2_overlay_dataset
StarGANv2 Overlay Dataset
This dataset contains 50 overlay images from the StarGANv2 dataset, with 25 real images and 25 fake images.
Dataset Structure
train/: Contains 40 training images with metadata.csv
test/: Contains 10 test images with metadata.csv
Labels
0: Real
1: Fake
Usage
from datasets import load_dataset
dataset = load_dataset("saakshigupta/starganv2_overlay_dataset")
# Access images and labels
for example in dataset["train"]:… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/starganv2_overlay_dataset.GAMMA
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/staryutong999/GAMMA.tactile-mnist-touch-starstruck-syn-single-t32-64x64Documentation is available at https://github.com/TimSchneider42/tactile-mnist/blob/main/doc/datasets.md#touch-datasets.
mnist-vqa
MNIST-VQA Dataset
Dataset Summary
MNIST-VQA is a synthetic Visual Question Answering (VQA) dataset generated from MNIST digits placed on a 3x3 grid. It is designed to test spatial reasoning, object localization, counting, and existence verification capabilities of VQA models.
The dataset comes in three variations with increasing difficulty, characterized by the number of digits present in each image (Density Constraint):
MNIST-VQA 2-4: Images contain 2 to 4… See the full description on the dataset page: https://huggingface.co/datasets/star092304/mnist-vqa.starganv2-gradcam-overlays
StarGANv2 GradCAM Overlay Dataset
Dataset Description
This dataset contains GradCAM overlay images generated from a StarGANv2 model. The images show heatmaps that indicate which regions of the images were important for a classifier to determine whether an image is real or fake (generated by StarGANv2).
Dataset Summary
Number of Images: 50 (25 real, 25 fake)
Image Type: PNG overlay images showing GradCAM heatmaps
Labels: Binary classification (real/fake)… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/starganv2-gradcam-overlays.tactile-mnist-touch-starstruck-syn-single-t32-64x64Documentation is available at https://github.com/[REDACTED]/tactile-mnist/blob/main/doc/datasets.md#touch-datasets.
stars
fbl666/stars
Auto-collected via Pexels API, de-duplicated and quality-filtered for face training.
images: 958
identities: 105
Fields
image_path
name
text
source_url
photographer
source
license_note
photo_id
image_sha1
width
height
face_count
face_ratio
sharpness
uav_night
Changping Night Demo
This repository contains a small desensitized representative subset of the self-built Changping Night dataset. It is released to improve the reproducibility of the experimental protocol and to let readers inspect the data format, dual-exposure pairing, reference-position representation, and evaluation metadata.
The full raw dataset is not publicly released due to privacy and geographic-security concerns.
Dataset Contents
The demo subset… See the full description on the dataset page: https://huggingface.co/datasets/starblaze/uav_night.tactile-mnist-touch-starstruck-syn-single-t32-320x240Documentation is available at https://github.com/[REDACTED]/tactile-mnist/blob/main/doc/datasets.md#touch-datasets.
StarWars
Dataset Details
Dataset Description
Sith Image Descriptions:
A Sith Lord wielding a red lightsaber in a dark cloak.
A menacing Sith warrior with yellow Sith eyes.
A Sith apprentice practicing the dark side of the Force.
Darth Maul, a powerful and red-skinned Sith from "Star Wars."
Emperor Palpatine using Force lightning in his Sith robes.
A Sith Inquisitor with a double-bladed lightsaber.
Kylo Ren, a conflicted Sith with a distinctive crossguard lightsaber.
Jedi Image… See the full description on the dataset page: https://huggingface.co/datasets/harishnair04/StarWars.