10+ Image Data Collection Services in 2025

As artificial intelligence (AI) and machine learning-powered solutions grow, the demand for comprehensive image datasets has never increased. The foundation of a successful AI model, especially in computer vision (CV) projects, is reliant upon high-quality data.

Image data collection services play an instrumental role in gathering this crucial data. Whether it’s for image classification datasets, object recognition, or dynamic project management, finding the right data collection service can make or break a project.

See the top 11 image data service providers on the market and offers criteria to help business leaders select the right data partner for their AI needs.

Top image data collection services

This section offers a comparison table for the top image data collection or generation services on the market.

Table 1. Comparison based on market presence & experience

Table 2. Comparison based on capabilities

* Only from B2B platforms like G2, Trustradius and Capterra.

** We consider a company to be data collection-focused if it offers data collection as its key offering on its website.

*** Data gathered from the ‘image data collection service’ pages of all vendors’ websites. If the data was not available, it was assumed that the vendor did not offer it.

Notes for the Tables:

• The companies are sorted according to the number of reviews in both tables.
• The comparison table is created through publicly available and verifiable data.
• The companies selected in this comparison were based on the relevance of their services. This means they offered image data collection or generation services as a main or side service.
• All vendors chosen in this comparison have more than 50 employees.
• Apart from image data, all companies use a wide array of data types for their data collection and annotation services (Video, Audio, Text, etc.).
• We will not be updating these tables as frequently as our product page, so you can access the most up-to-date vendor data from our data-driven list of data collection/harvesting services.
• In Table 2, a company is assumed to follow a code of conduct if it has a code of conduct page on its website.

Figure 1. Visual representation of the crowd size comparison criterion

Notes for Figure 1:

• In Figure 1, Innodata Inc. and TaskUS were not included since their crowd size was less than 100 K.
• For Figure 1, some vendors were also not included since their crowd size data was not found.

Criteria for selecting the right services

We divided the criteria into 2 categories: market presence and capabilities.

Market presence and experience

1. User ratings 

A company’s reputation speaks volumes. A high average user rating score from B2B review platforms indicates a higher level of customer satisfaction. 

2. Number of reviews

Before committing, ensure the company has positive reviews, showcasing its ability to cater to specific AI program needs. A larger number of reviews on B2B review platforms indicates the company has a large user/customer base, and you can get a better understanding of the customer’s perspective of the company’s offerings. 

3. Founding year

The age of the company helps buyers understand the experience the service provider has in a specific field. In our experience, an older company usually has a more refined service.

4. Crowd size

The larger the network of workers, the better. A global crowd allows for diverse and scalable solutions, helping companies quickly deliver large volumes of labeled images.

Platform capabilities

5. Data annotation as a service

Visual data is useless without data annotation. Therefore, it can be efficient if the company also offers image data annotation as a complementary or side service, so the data you receive is ready to train AI models.

6. Image Data Types

Different types of projects require different types and formats of visual data. Check if the company offers the image types and formats you require. 

7. Mobile application availability

A mobile app enables dynamic project management on the go and allows for unique scenario setups like traffic shots or vehicle images.

8. API integration

An API facilitates seamless data transfer, ensuring that large volumes of data, including visual and raw data, can be efficiently processed.

9. ISO certification

This signifies adherence to global standards, ensuring data security and quality. Since images can be biometric data, the company must follow data protection practices.

10. Code of Conduct

A company’s ethical compass is vital. Their code of conduct should reflect their commitment to data security, privacy, and fair practices. If an AI project is built on data gathered through unethical practices, it can harm the reputation of the developers.

Company details & evaluation

1. Clickworker

• Diverse image datasets
• Video data collection services
• Audio data collection
• New data generation
• Data annotation services

2. Appen

• Image and video datasets
• Audio and text data collection services
• Annotation services for visual and audio data
• Scalable solutions for diverse AI needs

3. Prolific

• Data collection
• Image annotation
• Handwriting analysis
• Research data for academia

4. Innodata Inc

• Scalable image and video data collection service
• Machine learning project consultancy
• Data security solutions

5. Telus International

• Scalable image datasets
• Object recognition solutions
• Other data services for AI development

6. DataForce by Transperfect

• Image classification datasets
• Audio and video data collection services

7. Amazon Mechanical Turk

• Large-volume data collection
• Annotation services for various data types
• Integration with the vast Amazon ecosystem

8. Summa Linguae Technologies

• Custom and segmented data collection
• Machine learning model training data
• Data security and quality assurance

9. Toloka AI

• Scalable image and video data solutions
• Annotation services for various data types
• Tools for specific AI program needs

10. LXT

• Image and video data collection for machine learning models
• Audio data collection for natural language processing
• Annotation services with emphasis on accuracy
• Custom dataset creation for a unique AI project

11. TaskUS

• Scalable image and video data solutions
• Annotation services for various data types
• Tools for specific AI program needs

Further reading

• AI Data Collection Guide, Challenges & Methods
• Top 12 Data Crowdsourcing Platforms
• Audio Data Collection for AI: Challenges & Best Practices

If you need help finding a vendor or have any questions, feel free to contact us: