datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Copernicus-Pretrain
Dataset Card for Copernicus-Pretrain
Copernicus-Pretrain is a large-scale EO pretraining dataset with 18.7M aligned images covering all major Sentinel missions (S1,2,3,5P).
Officially named Copernicus-Pretrain, also referred to as SSL4EO-S ("S" means Sentinel), as an extension of SSL4EO-S12 to the whole Sentinel series.
Dataset Details
Copernicus-Pretrain contains 18.7M aligned imagery from all major Sentinel missions in operation (Sentinel-1 SAR, Sentinel-2… See the full description on the dataset page: https://huggingface.co/datasets/wangyi111/Copernicus-Pretrain.Copernicus-Bench
Dataset Card for Copernicus-Bench
A hierarchical ML benchmark for Copernicus Sentinels, with 15 datasets spread into three task levels covering all major Sentinel missions (S1,2,3,5P).
(Officially named "Copernicus-Bench", initially named "SentinelBench")
Dataset Details
Level
Name
Modality
Task
# Images
Image Size
# Classes
Source
License
L1
Cloud-S2
S2 TOA
segmentation (cloud)
1699/567/551
512x512x13
4
CloudSEN12
CC 0 1.0
L1
Cloud-S3
S3 OLCI… See the full description on the dataset page: https://huggingface.co/datasets/wangyi111/Copernicus-Bench.miqd-2.5m
[Database: MIQD-2.5M] Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models
Xiaoqi Wang, Yun Zhang, Weisi LinSun Yat-sen University | Nanyang Technological University | 📖 Paper | 👨💻 Code
📊 Overview
2.5M degraded images from 10,000 originals
3 vision tasks:
Image Classification (ImageNet)
Object Detection (COCO)
Instance Segmentation (COCO)
10 distortion types × 5 levels × 3 region patterns75 models used for generating quality… See the full description on the dataset page: https://huggingface.co/datasets/xiaoqi-wang/miqd-2.5m.EuroSAT-SAR
EuroSAT-SAR: Land Use and Land Cover Classification with Sentinel-1
The EuroSAT-SAR dataset is a SAR version of the popular EuroSAT dataset. We matched each Sentinel-2 image in EuroSAT with one Sentinel-1 patch according to the geospatial coordinates, ending up with 27,000 dual-pol Sentinel-1 SAR images divided in 10 classes. The EuroSAT-SAR dataset was collected as one downstream task in the work FG-MAE to serve as a CIFAR-like, clean, balanced ML-ready dataset for remote sensing… See the full description on the dataset page: https://huggingface.co/datasets/wangyi111/EuroSAT-SAR.chineseBlack_People_Face_Recognition
Black people Face Detection Dataset: 3M+ Identities
Large human faces dataset for face recognition models (10M+ images)
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Full version of dataset is availible for commercial usage - leave a request on our website Axon Labs to purchase the dataset 💰
Dataset targeting 1:N and 1:1 NIST face recognition tests. Dataset contains 3M individuals, each with 3-5 images containing their faces
The dataset is “cleaned” and has… See the full description on the dataset page: https://huggingface.co/datasets/wanjavwa/Black_People_Face_Recognition.mnist
Dataset Card for "MNIST"
Quick Start
Usage
>>> from datasets.load import load_dataset
>>> dataset = load_dataset('whyen-wang/mnist')
>>> example = dataset['train'][0]
>>> print(example)
{'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28>,
'label': 5}
Visualization
>>> importcv2
>>> import numpy as np
>>> from PIL import Image
>>> def visualize(example):
image = np.array(example['image'])
image = cv2.resize(image, (280… See the full description on the dataset page: https://huggingface.co/datasets/whyen-wang/mnist.