High-Quality Computer Vision Datasets for Advanced AI Development

Image and Video Datasets tailored for specific use cases in healthcare, e-commerce, robotics, autonomous driving, and more

Computer vision data catalog

Language & Text Datasets

These datasets contain multilingual text and handwriting samples in languages like Arabic, Chinese, English, Japanese, and more. They are primarily designed for natural language processing, text recognition, and multilingual applications, supporting tasks such as OCR (Optical Character Recognition), text classification, and translation models.

Language & text datasets

Document & Financial Datasets

These datasets focus on financial documents, including bank statements, pay slips, and e-commerce product listings, commonly used for Document AI applications. They help train models for document parsing, information extraction, automated bookkeeping, and financial analysis.

Document & financial datasets

Facial & Body Part Segmentation & Recognition Datasets

These datasets focus on financial documents, including bank statements, pay slips, and e-commerce product listings, commonly used for Document AI applications. They help train models for document parsing, information extraction, automated bookkeeping, and financial analysis.

Facial & body part segmentation & recognition datasets

Human & Animal Segmentation Datasets

This category contains segmentation datasets for both humans and animals, focusing on body parts, accessories, and multi-object scenes. It enables training in person and animal detection, behavior analysis, and segmentation applications, supporting fields like robotics, animation, and augmented reality.

Human & animal segmentation datasets

Clothing & Fashion Datasets

Clothing and fashion datasets provide segmentation, classification, and keypoint data specific to apparel items. These datasets support fashion recommendation engines, virtual try-ons, and retail inventory management by analyzing various aspects of clothing such as types, patterns, and accessories.

Clothing & fashion datasets

Gesture, Pose & Activity Datasets

These datasets include gesture and pose-related data for human activity recognition. They focus on skeleton-based body key points, hand gestures, and human posture, supporting applications like AR/VR, gesture recognition, gaming, and human-computer interaction.

Gesture, pose & activity datasets

Environment & Scene Segmentation Datasets

Environment and scene segmentation datasets cover various scenes, both indoors and outdoors, including traffic, roads, and objects within urban and rural settings. They aid in training autonomous driving, smart city surveillance, and navigation applications by providing scene understanding and semantic segmentation data.

Environment & scene segmentation datasets

Specific Object & Contour Segmentation Datasets

These datasets provide detailed segmentation of particular objects and contours, such as food, buildings, and machinery. They are useful for training models to recognize and segment specific shapes, objects, and boundaries, supporting use cases in robotics, quality control, and automated inspections.

Specific object & contour segmentation datasets

Machine & Industry Datasets

Datasets in this category focus on industrial applications, including images of machine parts, damaged equipment, and barcodes. These datasets assist in quality assurance, automated machine inspection, defect detection, and industrial process monitoring, ideal for manufacturing and warehouse automation.

Machine & industry datasets

Remote Sensing & Aerial Datasets

These datasets offer aerial and satellite imagery used in remote sensing, containing data on land changes, building footprints, and other geographical features. They are useful for urban planning, agriculture, environmental monitoring, and defense applications.

Remote sensing & aerial datasets

Weather & Lighting Condition Datasets

These datasets capture images and videos in different weather and lighting conditions, like sunny, cloudy, and rainy environments. Primarily used in computer vision, they train models to perform accurately under varied environmental conditions, supporting autonomous driving, weather-robust surveillance, and outdoor navigation.

Weather & lighting condition datasets