Let data providers come to you!

Post your request to reach 1240+ data providers and find the best match for your data needs

How it works

Tell us what you need
2-3 mins
Receive proposals
within 24 hours
Connect with providers
Post request now
Post your data request
Filter by

Best 10 Computer Vision Datasets for Image Recognition and Object Detection

Computer vision datasets are collections of images or videos that are used to train and evaluate computer vision algorithms. These datasets contain labeled examples of various objects, scenes, or activities, allowing algorithms to learn and understand visual information. These datasets are crucial for developing and testing computer vision models and applications.

77 results
Logo of Nexdata

Natural Scene and Handwriting OCR Data | 500,000 Images| Computer Vision Data| AI Datasets

by Nexdata
Available in
USA
UK
Germany
France
Italy
and 57 more countries
Logo of Driver Technologies, Inc​

Driver Technologies | Bicycle Computer Vision Data | North America and UK | Real-time and historical traffic information

by Driver Technologies, Inc​
Latitude
Available in
USA
UK
Canada
Mexico
Logo of LeadChart

Computer Vision companies database

by LeadChart
State Name
Website
Country Name
Company Name
Company Annual Revenue
and 1 more attribute
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of DataClap

Computer Vision Companies Database

by DataClap
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of FileMarket

FileMarket | Text Recognition Data | 50,000 Images | Computer Vision Data | AI Model Training Data | Textual data | Annotated Imagery Data

by FileMarket
Language Name
Available in
UK
Germany
France
Italy
Spain
and 155 more countries
Logo of Ainnotate

Face Anti Spoofing dataset (videos) for Computer Vision applications

by Ainnotate
Available in
India
Logo of Nexdata

Re-ID Data | 600,000 ID | CCTV Data |Computer Vision Data| Identity Data| AI Datasets

by Nexdata
Available in
USA
UK
Germany
France
Italy
and 118 more countries
Logo of Driver Technologies, Inc​

Driver Technologies | Pedestrian Crossing Sign Computer Vision Video Data | North America and UK | Real-time and historical traffic information

by Driver Technologies, Inc​
Latitude
Available in
USA
UK
Canada
Mexico
Logo of LeadChart

Computer Vision companies - database

by LeadChart
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of Pixta AI

Pixta AI | Imagery Data | Global | High volume | Annotation and Labelling Services Provided | Multimodal Medical Images OTS Datasets for AI and ML

by Pixta AI
4.9
Available in
USA
UK
Germany
France
Italy
and 177 more countries

1. What is computer vision?

Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful insights, recognize objects, and perform tasks such as image recognition and object detection.

2. Why are datasets important for computer vision tasks?

Datasets play a crucial role in training and evaluating computer vision models. They provide a large collection of labeled images or videos that enable algorithms to learn patterns, features, and relationships between objects. Datasets help improve the accuracy and performance of computer vision models by providing diverse and representative examples for training and testing.

3. What are the top 10 computer vision datasets for image recognition and object detection?

The top 10 computer vision datasets for image recognition and object detection are:

  1. ImageNet
  2. COCO (Common Objects in Context)
  3. Pascal VOC (Visual Object Classes)
  4. Open Images
  5. Microsoft COCO
  6. SUN Database
  7. ADE20K
  8. Cityscapes
  9. LFW (Labeled Faces in the Wild)
  10. CIFAR-10

4. How are these datasets useful for computer vision tasks?

These datasets provide a wide range of labeled images or videos that cover various object categories, scenes, and contexts. They enable researchers and developers to train and evaluate computer vision models for tasks like image classification, object detection, semantic segmentation, and more. These datasets help advance the field of computer vision by providing standardized benchmarks and facilitating the development of state-of-the-art algorithms.

5. Are these datasets freely available?

Most of the mentioned datasets are freely available for academic and research purposes. However, some datasets may have specific licensing or usage restrictions. It is important to review the terms and conditions of each dataset to ensure compliance with any usage requirements.

6. Can I contribute to these datasets?

Some of the datasets mentioned, such as COCO and Open Images, allow contributions from the community. Researchers and developers can contribute by labeling new images, adding annotations, or improving existing annotations. Contributing to these datasets helps improve their quality, diversity, and usefulness for the computer vision community.