datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bedroom-change-detection-state-monitoring
Bedroom Change Detection & State Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync… See the full description on the dataset page: https://huggingface.co/datasets/physicl/bedroom-change-detection-state-monitoring.ukraine-forest-change-detection
Satellite Forest Change Detection Dataset
This dataset contains paired multispectral satellite image tiles and binary
change masks for forest change detection. Each valid sample is a triplet:
A: image at the first time point
B: image at the second time point
label: change mask for the same tile and period
The data is organized into train, val, and test splits. Each split has
the same directory structure:
train/
A/
B/
label/
val/
A/
B/
label/
test/
A/
B/
label/… See the full description on the dataset page: https://huggingface.co/datasets/Moriae/ukraine-forest-change-detection.CSC722_SP26_GROUP1_CHANGE_DETECTIONChangeDetectionremote-sensing-change-detection
Remote Sensing Change Detection Dataset
For Chinese documentation, please see README_zh.md
Dataset Description
A specialized dataset for remote sensing change detection research, containing complete image processing pipeline and annotation information. This dataset includes 24 groups of registered and aligned remote sensing image samples, with each group containing 5 different types of image files and corresponding annotation files.
Dataset Features
Data… See the full description on the dataset page: https://huggingface.co/datasets/Mercyiris/remote-sensing-change-detection.bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5
Bedroom Table Lamp Detection — RT-DETR Training
Training dataset to teach a robot to detect and locate table lamps of various kinds in bedrooms. Contains 30 renders (640x640) staged across eight bedroom environments, each framing a table lamp, with albedo and metric depth passes, per-frame annotations (bounding boxes, labels), and morning lighting. Built for object detection with an RT-DETR model.
This dataset mirrors public data-pack render outputs from Physicl.
Each row… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5.bedroom-change-detection-state-monitoringstyle_change_detectionThe goal of the style change detection task is to identify text positions within a given multi-author document at which the author switches. Detecting these positions is a crucial part of the authorship identification process, and for multi-author document analysis in general.
Access to the dataset needs to be requested from zenodo.mosaic_sen2_cc_change_detection
danvinci/mosaic_sen2_cc_change_detection
Multi-image change-detection reformat of the
MOSAIC-SEN2-CC dataset
(Tuzlupinar et al., IEEE JSTARS 2025), prepared for vision-language
fine-tuning of LiquidAI/LFM2.5-VL-1.6B.
Splits
split
rows
source
train
29281
full MOSAIC TRAIN partition
validation
700
balanced 33% positive sample
Schema
Each row is a (before_img, after_img, prompt, answer, schema_id) tuple:
field
type
description… See the full description on the dataset page: https://huggingface.co/datasets/danvinci/mosaic_sen2_cc_change_detection.changedetection-2012-highwaymuld_AO3_Style_Change_Detection
Dataset Card for "muld_AO3_Style_Change_Detection"
More Information needed
concrete_circles_change_detection
About Dataset
The dataset contains 81 pairs of high-resolution RGB images of 2000x2000 size in png extension, where a pair depicts a vertically photographed circle of the same concrete and one of the images in the pair is irradiated and contains changes. The dataset contains binary masks for solving the problem of segmentation of changes caused by radiation.
All pairs were collected from 6 concrete samples named as 1A, 1C, 3A, 3C, 4A, 5A. Each sample contains from 11 to 14 pairs of… See the full description on the dataset page: https://huggingface.co/datasets/georgiisirotenko/concrete_circles_change_detection.Farmland-Surface-Change-Detection-Dataset
Farmland Surface Change Detection Dataset
The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Farmland-Surface-Change-Detection-Dataset.change-detection-datasetconcrete_circles_change_detection_video
About Dataset
The dataset consists of 12 high-resolution videos of 3840 × 2160. The videos contain rotating concrete cylinders with a diameter of 22mm. Each video contains two parts separated by a few seconds of black screen, where each part corresponds to the same concrete sample being filmed under different lighting conditions. The video recording process is described below:
Concrete sample is fixed to the installation so that the upper base is at the height indicated by the… See the full description on the dataset page: https://huggingface.co/datasets/georgiisirotenko/concrete_circles_change_detection_video.Farmland-Surface-Change-Detection-Dataset
Farmland Surface Change Detection Dataset
The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Farmland-Surface-Change-Detection-Dataset.change-detection-datasetsatellite_remote_sensing_change_detection