GaiaTecnologias/NAIP dataset hosted on Hugging Face and contributed by the HF Datasets community

🚨 New Dataset Version Released!

  We are excited to announce the release of Version [2.0] of our dataset!





  This update includes:

[More data]. [Harmonization model retrained with more data]. [Temporal support]. [Check the data without downloading (Cloud-optimized properties)].

  📥 Go to: https://huggingface.co/datasets/tacofoundation/SEN2NAIPv2 and follow the instructions in colab











  SEN2NAIP

The increasing demand for high spatial… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/SEN2NAIP.

Demo dataset for our CVPR 2025 paper "ZoomLDM: Latent Diffusion Model for multi-scale image generation". We extract patches from the Chesapeake land cover dataset.

  Usage

from datasets import load_dataset ds = load_dataset("StonyBrook-CVLab/ZoomLDM-demo-dataset-NAIP", name="3x", trust_remote_code=True, split='train') print(np.array(ds[0]['ssl_feat']).shape)

(1024, 4, 4)

  Citations

@inproceedings{yellapragada2025zoomldm, title={ZoomLDM: Latent Diffusion Model for… See the full description on the dataset page: https://huggingface.co/datasets/StonyBrook-CVLab/ZoomLDM-demo-dataset-NAIP.

This repository contains the data description and processing for the paper titled "SkySense++: A Semantic-Enhanced Multi-Modal Remote Sensing Foundation Model for Earth Observation." The code is in here

🔥🔥🔥 Last Updated on 2025.03.14 🔥🔥🔥

• [2025.3.14] updated optical images of JL-16 dataset (https://huggingface.co/datasets/KKKKKKang/JL-16)
• [2025.3.12] updated sentinel-1 images and labels of JL-16 dataset
• [2025.3.9] updated pretrain and evaluation data

We conduct semantic-enhanced pretraining on the RS-Semantic dataset, which consists of 13 datasets with pixel-level annotations. Below are the specifics of these datasets.

Dataset	Modalities	GSD(m)	Size	Categories	Download Link
Five Billion Pixels	Gaofen-2	4	6800x7200	24	Download
Potsdam	Airborne	0.05	6000x6000	5	Download
Vaihingen	Airborne	0.05	2494x2064	5	Download
Deepglobe	WorldView	0.5	2448x2448	6	Download
iSAID	Multiple Sensors	-	800x800 to 4000x13000	15	Download
LoveDA	Spaceborne	0.3	1024x1024	7	Download
DynamicEarthNet	WorldView	0.3	1024x1024	7	Download
	Sentinel-2*	10	32x32
	Sentinel-1*	10	32x33
Pastis-MM	WorldView	0.3	1024x1024	18	Download
	Sentinel-2*	10	32x32
	Sentinel-1*	10	32x33
C2Seg-AB	Sentinel-2*	10	128x128	13	Download
	Sentinel-1*	10	128x128
FLAIR	Spot-5	0.2	512x512	12	Download
	Sentinel-2*	10	40x40
DFC20	Sentinel-2	10	256x256	9	Download
	Sentinel-1	10	256x256
S2-naip	NAIP	1	512x512	32	Download
	Sentinel-2*	10	64x64
	Sentinel-1*	10	64x64
JL-16	Jilin-1	0.72	512x512	16	Download
	Sentinel-1*	10	40x40

* for time-series data.

We evaluate our SkySense++ on 12 typical Earth Observation (EO) tasks across 7 domains: agriculture, forestry, oceanography, atmosphere, biology, land surveying, and disaster management. The detailed information about the datasets used for evaluation is as follows.

Domain	Task type	Dataset	Modalities	GSD	Image size	Download Link	Notes
Agriculture	Crop classification	Germany	Sentinel-2*	10	24x24	Download
Foresetry	Tree species classification	TreeSatAI-Time-Series	Airborne,	0.2	304x304	Download
			Sentinel-2*	10	6x6
			Sentinel-1*	10	6x6
	Deforestation segmentation	Atlantic	Sentinel-2	10	512x512	Download
Oceanography	Oil spill segmentation	SOS	Sentinel-1	10	256x256	Download
Atmosphere	Air pollution regression	3pollution	Sentinel-2	10	200x200	Download
			Sentinel-5P	2600	120x120
Biology	Wildlife detection	Kenya	Airborne	-	3068x4603	Download
Land surveying	LULC mapping	C2Seg-BW	Gaofen-6	10	256x256	Download
			Gaofen-3	10	256x256
	Change detection	dsifn-cd	GoogleEarth	0.3	512x512	Download
Disaster management	Flood monitoring	Flood-3i	Airborne	0.05	256 × 256	Download
		C2SMSFloods	Sentinel-2, Sentinel-1	10	512x512	Download
	Wildfire monitoring	CABUAR	Sentinel-2	10	5490 × 5490	Download
	Landslide mapping	GVLM	GoogleEarth	0.3	1748x1748 ~ 10808x7424	Download
	Building damage assessment	xBD	WorldView	0.3	1024x1024	Download

* for time-series data.

Setpoint/ASR-Nail-em dataset hosted on Hugging Face and contributed by the HF Datasets community

FireRisk

The FireRisk dataset is a dataset for remote sensing fire risk classification.

Paper: https://arxiv.org/abs/2303.07035 Homepage: https://github.com/CharmonyShen/FireRisk

  Description

Total Number of Images: 91872 Bands: 3 (RGB) Image Size: 320x320 101,878 tree annotations Image Resolution: 1m Land Cover Classes: 7 Classes: high, low, moderate, non-burnable, very_high, very_low, water Source: NAIP Aerial

  Usage

To use this dataset, simply… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/FireRisk.

Dataset Card for Nail Biting Classification

  Dataset Summary

A binary image dataset for classifying nailbiting. Images are cropped to only show the mouth area. Should contain edge cases such as drinking water, talking on the phone, scratching chin etc.. all in "no biting" category

  Dataset Structure





  Data Instances

7147 Images 14879790 bytes total 12332617 bytes download

  Data Fields

128 x 64 (w x h, pixels) Black and white Labels

'0':… See the full description on the dataset page: https://huggingface.co/datasets/alecsharpie/nailbiting_classification.