Liquid Stain Dataset from Robot Cleaner View – 76,117 Indoor Images for Computer Vision

190K+ Robot Cleaner View Images – Indoor Scene Dataset for Object Recognition

This dataset contains 190,426 high-resolution images captured from the perspective of robot vacuum cleaners operating in diverse indoor environments. It includes multiple rooms, lighting conditions, time periods, and shooting angles, covering a wide variety of household items and layouts. The data is ideal for training and evaluating models in household object detection, robotic visual navigation, and computer vision tasks for smart home systems and autonomous cleaning robots. All data complies with GDPR, CCPA, and PIPL privacy regulations.

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78K Images Parking Lot Dataset for Parking Detection & Occupancy AI

This data diversity includes multiple collecting angles, multiple light conditions and scenes. The data can be use for AI training in parking detection, occupancy recognition, and smart parking management systems.

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307,776 Images Scene Classification Dataset – 48 Categories, Multi-Angle

This large-scale scene classification dataset includes 307,776 images across 48 categories. The data diversity includes multiple scenes, different photographic angles. The dataset can be used for tasks such as scene recognition, classification, and environment understanding, it provides high-quality annotated data for AI training.

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8,643 Images with 14 Types of Distortions – Image Denoising & Deblurring Dataset

This dataset provides 8,643 abnormal images and videos covering 14 different distortion types, including noise, blur, low resolution, and other degradations.The data includes indoor scenes (library, craft store, etc.) and outdoor scenes (road, building, square, railway station, etc.) under various lighting conditions and resolutions. This dataset can be used for tasks such as image denoising, image deblurring, low-light enhancement, and real-world degraded image reconstruction.

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46,695 Images – Annotated Household Waste Dataset for Object Detection

This dataset covering multiple waste types and diverse scenes. Annotated for object detection, classification, and recognition tasks.This dataset is ideal for AI research in waste sorting, recycling automation, and computer vision applications in smart environmental management.

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2,981 Paired Fog & Clear Images Dataset for Image Defogging

This dataset contains 2,981 pairs of foggy and clear images collected from a wide range of real-world outdoor scenes, including urban streets, rural roads, mountains, parks, ruins, buildings, shops, flowers, trees, and seaside views. Each image pair captures the same scene under foggy and no-fog conditions, with variations in time of day, viewpoint, and fog density. This dataset is ideal for tasks such as single image dehazing, fog removal, image enhancement in adverse weather conditions, and computer vision robustness testing. All images are high-quality and suitable for training deep learning models in real-world defogging applications.

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43,411 Images-464 Categories of Trademarks Data

43,411 Images-464 Categories of Trademarks Data. The collecting environments include indoor and outdoor scenes. in this dataset, the image is clear without watermark, each image contains at least one trademark. The dataset can be used for scene recognition and trademark classification.

Trademark Multiple scenes

142,636 Images of Different Camera Brands

142,636 Images of Different Camera Brands. The dataset includes indoor scenes and outdoor scenes. The data diversity includes multiple scenes, multiple camera brands, different time periods and different image resolutions. This dataset covers 41 camera brands, it can be used for tasks such as image understanding and scenes classification.

Multiple Camera brand Multiple scenes Different time periods

Liquid Stain Dataset from Robot Cleaner View – 76,117 Indoor Images for Computer Vision

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CV dataset

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robot view dataset