datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MIT-Indoor-ScenesIndoorSceneRecognition
Dataset Card for IndoorSceneRecognition
The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format.
This is a FiftyOne dataset with 15620 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/IndoorSceneRecognition.indoor-safety-hazard-detection-and-work-zone-monitoring
Indoor Safety Hazard Detection & Work-Zone 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… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-safety-hazard-detection-and-work-zone-monitoring.indoor-anomaly-detection-path-obstruction-monitoring
Indoor Anomaly Detection & Path Obstruction 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… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-anomaly-detection-path-obstruction-monitoring.IndoorCAD
IndoorCAD Dataset
This repo contains our IndoorCAD Dataset.There are 4400+ Furniture models in the Furniture_Data part of the dataset,each has CAD model in STEP form,B-rep information,mesh model and 32-angle multi-view picture,text discription generated by qwenVLM and alignment label.There are 4500+ scene model in the Scene_Data part of the dataset,wich include CAD model in STEP form and pictures of different perspective.
And we provide a small sample of the dataset in… See the full description on the dataset page: https://huggingface.co/datasets/anon-neurips-2026/IndoorCAD.ITLP-Campus-Indoor🏢 ITLP Campus Indoor is a multimodal dataset focused on indoor Place Recognition across five floors of a university building. It features synchronized RGB images from front and back cameras, LiDAR point clouds, manually annotated scene text, and strategically placed ArUco markers for accurate localization. Semantic segmentation masks were automatically generated using the OneFormer model. Captured during night and twilight conditions, the dataset reflects real-world challenges in indoor… See the full description on the dataset page: https://huggingface.co/datasets/OPR-Project/ITLP-Campus-Indoor.UAV-IndoorCL
UAV-IndoorCL
This repository contains the dataset presented in the paper Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones.
Project Page | GitHub
Dataset Summary
UAV-IndoorCL is an indoor video dataset consisting of 14,400 frames capturing inter-drone and ground vehicle footage. It was specifically designed to support and benchmark Class-Incremental Learning (CIL) research for resource-constrained aerial platforms. The frames were… See the full description on the dataset page: https://huggingface.co/datasets/kaochuang/UAV-IndoorCL.indoor-scene-classification
Dataset Labels
['meeting_room', 'cloister', 'stairscase', 'restaurant', 'hairsalon', 'children_room', 'dining_room', 'lobby', 'museum', 'laundromat', 'computerroom', 'grocerystore', 'hospitalroom', 'buffet', 'office', 'warehouse', 'garage', 'bookstore', 'florist', 'locker_room', 'inside_bus', 'subway', 'fastfood_restaurant', 'auditorium', 'studiomusic', 'airport_inside', 'pantry', 'restaurant_kitchen', 'casino', 'movietheater', 'kitchen', 'waitingroom', 'artstudio', 'toystore'… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/indoor-scene-classification.indoor-scene-state-environmental-context-understanding-next-pack-0c894b1f-effc97c5
Indoor Robot Navigation and Toy Grasping
Training dataset for a mobile robot in home environments (kids rooms and playrooms). Renders show furniture to navigate between and toys to grasp, with metric depth and world-space normals for contact geometry, plus per-frame annotations, at 1024x1024 with the environments' authored lighting.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/indoor-scene-state-environmental-context-understanding-next-pack-0c894b1f-effc97c5.IndoorOutdoorNet-20K
IndoorOutdoorNet-20K
IndoorOutdoorNet-20K is a labeled image dataset designed for the task of image classification, particularly focused on distinguishing between indoor and outdoor scenes. The dataset is publicly available on Hugging Face Datasets and is useful for scene understanding, transfer learning, and model benchmarking.
Dataset Summary
Task: Image Classification
Modalities: Image
Labels: Indoor, Outdoor (2 classes)
Total Images: 19,998
Split: Train (100%)… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/IndoorOutdoorNet-20K.IndoorCrowd
Dataset Card for IndoorCrowd
Dataset Summary
IndoorCrowd is a multi-scene dataset designed for indoor human detection, instance segmentation, and multi-object tracking. It captures diverse challenges such as viewpoint variation, partial occlusion, and varying crowd density across four distinct campus locations (ACS-EC, ACS-EG, IE-Central, R-Central). Faces are explicitly blurred to preserve privacy, making it suitable for safe research into intelligent crowd… See the full description on the dataset page: https://huggingface.co/datasets/sebnae/IndoorCrowd.pintest_indoor_2025IndoorVG-coco-format
IndoorVG — Indoor Visual Genome (COCO format)
IndoorVG is a curated split of
Visual Genome
targeting real-world indoor scenarios (kitchens, offices, living rooms, …).
It was proposed in
Neau et al. (2024)
and reformatted here in standard COCO-JSON format.
It was produced as part of the
SGG-Benchmark framework and used to train
the models described in the REACT paper
(Neau et al., BMVC 2025).
The 84 object classes and 37 predicate classes were manually selected and
semi-automatically… See the full description on the dataset page: https://huggingface.co/datasets/maelic/IndoorVG-coco-format.table_indoor-objectmit-indoor-outdoorumi-okra-indoor-20260804
UMI Okra Harvesting — Indoor Session (2026-08-04)
Unitree Dex1-1 グリッパに改造した UMI (Universal Manipulation Interface)
で、屋内に並べた観葉植物を対象にオクラ収穫動作を撮影したデモンストレーションデータ。
English summary: Human demonstrations of okra-harvesting motions recorded indoors with a
hand-held UMI gripper (modified with a Unitree Dex1-1) and a GoPro. Contains a
diffusion-policy-ready replay buffer (14 episodes / 3,500 frames) plus the raw ORB-SLAM3
trajectories and calibration files. Read the Limitations section… See the full description on the dataset page: https://huggingface.co/datasets/Kota0612/umi-okra-indoor-20260804.indoor-laptop-detection-next-pack-e6bd6a07-356e7b31
Indoor Plant Detection for YOLO
Synthetic training dataset of 5 renders (640x640) staged in home and office interiors — libraries and residential lounges — each framing an indoor plant. Includes RGB, albedo and metric depth passes with per-frame bounding-box annotations, for training a YOLO object-detection model to detect indoor plants.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/indoor-laptop-detection-next-pack-e6bd6a07-356e7b31.Stairs_Image_Dataset_Parts_of_House_Indoor
Stairs Image Dataset — Parts of House Indoor (Sample)
⚠️ This is a free sample subset (100 images) for evaluation purposes only.The full dataset (3,000+ HD images) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset is an extremely challenging collection of original stair images, crowdsourced from over 500 urban and rural areas. Every image is manually reviewed and verified by computer vision… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor.synthetic-transparent-objects-indoor
Synthetic Glass & Transparent Packaging Dataset Indoor (YOLO BBox + Segment)
Transparent Packaging & Glass Benchmark
Watch our benchmark breakdown: Why Object Detection Fails on Glass.
A photorealistic synthetic computer vision dataset for transparent glass and packaging objects, designed for object detection and image segmentation under challenging lighting conditions. The dataset is intended for YOLO validation, transparent object detection, instance… See the full description on the dataset page: https://huggingface.co/datasets/Ji0134ch/synthetic-transparent-objects-indoor.localize-indoor
Elliot Localize Indoor / 3D and depth
Upstream training splits; known explicitly identified test/eval rows excluded. Cross-dataset benchmark overlap is not guaranteed. Published as a raw, manually gated release; source annotation caveats remain.
Task views reuse original image archives. 2D coordinates are normalized 0–1000. Native 3D sidecars preserve original camera-space XYZ and camera calibration; they are not normalized to 0–1000. Within each query targets are sorted… See the full description on the dataset page: https://huggingface.co/datasets/elliot-mllm/localize-indoor.IndoorCrowdYoloFormatindoor-smartphone-3d-reconstruction-control
Indoor Smartphone 3D Reconstruction Control Dataset
Набор данных подготовлен для сравнения методов восстановления 3D-сцены в помещении по короткому видео со смартфона. Он содержит три небольшие indoor-сцены, очищенные публикационные видеоролики, подвыборки кадров, ручную CVAT-разметку и физически измеренные контрольные расстояния.
Датасет предназначен для оценки геометрической согласованности результатов 3D-реконструкции. Разметка не является обучающей dense-разметкой глубины:… See the full description on the dataset page: https://huggingface.co/datasets/Maksonchek/indoor-smartphone-3d-reconstruction-control.africa-synth-climate-indoor-air-pollution-clean-cooking-all
Indoor Air Pollution & Clean Cooking (SSA) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: energy - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-climate-indoor-air-pollution-clean-cooking-all.real_indoor_path_tracingNYC-Indoor-VPR-Dataindoor-semantic-sample
Fengmap Indoor Semantic Map Sample Dataset
Dataset version: v1.0Semantic format specification version: v0.2Release date: August 14, 2026Dataset size: 5 indoor maps across 37 floorsPermitted use: Non-commercial learning, research, education, and technical validation only
Dataset Overview
The Fengmap Indoor Semantic Map Sample Dataset is a public test dataset designed for indoor spatial understanding, spatial relationship analysis, map SDK integration, and… See the full description on the dataset page: https://huggingface.co/datasets/fengmap-official/indoor-semantic-sample.Indoor_Residential_Layouts_and_Room_Interiorsindoorreal_indoor_path_tracing_filteredindoor-scenes-dataset