Consent in every task
Every contributor agrees to take part before they submit a selfie or face video.
Face Data for AIFace Data Collection
Face Data Collection
for AI Training
Get selfies and short face videos from adults who agree to take part, in the countries you choose. Describe what to capture, set the pay and approve only what fits.
190+ countries
Collect face data from adults 18+ in the countries and demographics you choose.
Review every submission
Approve only the samples that fit your brief. Reject what does not.
190+
Countries
13,487
Tasks completed
12,000+
Registered workers
~4 Hours
Avg time to results
How It Works
How Face Data Collection Works
Launch a face data task yourself and receive consent-based selfies and videos from real contributors, without long negotiations.
01 · Create
Describe what contributors should capture
Explain the angles, expressions, lighting and format you need. State clearly how the images will be used and add examples of a good result.
Angles, expressions or videos- Purpose explained in the task
- Example images for reference
02 · Target
Choose countries and volume
Select the countries your contributors should come from and how many submissions you need. A wide spread of countries helps you build a balanced dataset.
- Any number of countries in one task
- Several files per submission
- You set the total volume
03 · Capture
Contributors take selfies of themselves
Your task becomes available to adult workers in the selected countries. They read the task purpose, agree to take part and capture only their own face.
- Own face only, no one else
- Different phones and cameras
- New person in every submission
04 · Review
Approve only the submissions that fit
Check every submission, approve the images that meet your requirements and reject the rest. Keep your dataset clean from the start.
- Review every file
- Approve or reject each submission
- Clean data for training
Face Data Types
Types of Face Data You Can Collect
Set up a task for the exact face images your model needs. Contributors follow your instructions and capture themselves on their own phones.
Multi-Angle Selfies
One face, several angles
Contributors take a set of selfies facing forward, left, right, up and down. Used to train face recognition that works from any angle.
- Set of angles you define
- Several photos per person
- Consistent framing rules
Expressions
Smiles, frowns and everything in between
Workers capture a neutral face and the expressions you list, such as smiling, surprised or thoughtful. Useful for expression analysis and avatar animation.
- Your own list of expressions
- Neutral reference photo
- Natural, not exaggerated
Liveness Videos
Short videos for liveness detection
Contributors record a few seconds of turning their head, blinking or following simple instructions. Train systems that check a real person is in front of the camera.
- Head turns and blinks
- A few seconds per clip
- Front camera of real phones
Lighting and Conditions
Faces in real-world light
Get selfies in daylight, low light, backlight and indoor lamps. Help your model recognize people where they actually use their phones.
- Daylight and low light
- Indoor and outdoor
- Different phone cameras
Accessories
Glasses, hats, masks and more
Contributors take the same selfie with and without glasses, hats, masks or headphones. Make your model reliable when part of the face is covered.
- With and without accessories
- Partial face coverage
- Same person, same angle
Diversity
A balanced mix of adult faces
Collect faces of adults of different ages, genders and backgrounds from many countries. Reduce bias and test how fair your model is across groups.
- Adults 18+ across age groups
- Many countries in one task
- Balanced dataset by design
Task ExampleFace Images With Details
Face Images With Details
in One Task
Ask contributors to add the details you need next to their photos, such as the angle or lighting. You get images with context, ready for labeling or training.
Your setup
What you set up
Choose Image or Video collection, set how many files each worker sends and write instructions with angles, conditions and the purpose of the data.
- Image or video collection
- Number of files per submission
- Purpose and consent in instructions
Your view
What you receive
Each submission arrives with the worker's photos or videos and the details you asked for, ready to review and approve.
- Files and details in one submission
- Worker country on every submission
- Approve or reject each set
Targeting
Target the Right Contributors
Choose where your contributors come from and tell them exactly what to capture. Every submission comes from a different adult.
Countries and regions
Accept workers from all countries or pick specific ones by continent or individually. Build a dataset that reflects your real users.
Contributor requirements
Describe who should take part in your instructions, such as age group or wearing glasses. All contributors must be adults. Reject submissions that do not match.
Example images
Upload reference images that show the angle, framing and quality you expect, so contributors get it right the first time.
One person, one submission
Each worker can complete your task only once. Set the number of submissions you need and get faces of that many different people.
Quality Control
Quality Control You Stay in Charge Of
You decide what counts as a good submission and review every file before it joins your dataset.
Clear instructions
Describe angles, lighting, background and what must not appear, such as other people or documents.
Example images
Show good and bad examples so contributors know exactly what you expect.
Approve or reject
Check each submission and accept only files that meet your requirements.
Second review
Launch a separate task where other workers check that files match your instructions.
Consent
Consent Comes First
Face data is personal. Every submission comes from an adult who read the task purpose and chose to take part.
Purpose stated in every task
Your task description explains what people will capture and that the images will be used to train AI. Workers read it before they accept.
Adults, own face only
Contributors must be 18 or older and may capture only their own face. Submissions showing other people are rejected.
Voluntary participation
Nobody is assigned to your task. Each worker decides to take part and uploads their photos or videos on their own.
Pricing
Estimate Your Face Data Collection Cost
You set the pay per task. Adjust the numbers to see what your project will cost, with the 15% platform fee included.
min
How long it takes a worker to complete one task.
$
Minimum pay is $0.10 per task. Need more submissions later? Extend the same task instead of creating a new one.
FAQ
Frequently Asked Questions
What is face data collection?
Face data collection is gathering selfies and short face videos from people who agree to take part, to train and test face recognition, liveness detection and other computer vision models.
How is consent handled?
Every task must explain what contributors will capture and how the data will be used. Workers read this before accepting, and only those who agree take part. We recommend stating the purpose clearly and in plain words.
Who can take part?
Only adults aged 18 or older, and only with their own face. Submissions that show children or other people must be rejected.
How much does face data collection cost?
You set the pay for each task, starting from $0.10, plus a 15% platform fee. Sets of several photos or videos usually need a higher pay rate. A campaign starts from $0.30.
How many photos can one person send?
You decide. Set the number of files per submission, for example five selfies from different angles. Each worker can complete your task only once.
Can I collect videos as well as photos?
Yes. Choose video collection for liveness clips or short face videos, and describe the length and movements in your instructions.
Which countries can I collect face data from?
You can accept workers from all countries or choose specific continents and countries when you create the task.
How do I build a balanced dataset?
Select a wide range of countries and describe the mix of age groups and other attributes you need in your instructions. Review submissions and extend the task until the balance is right.
Do I need to follow data protection laws?
Yes. Face images are personal data, and you are responsible for following the laws that apply to your project. Plan how you will store and use the data before you launch the task.
What if I need a custom setup?
If you need a special format, a review flow of your own or help with your instructions, contact us through the form below and we will set it up with you.
Contact
Planning a Large Face Data Project?
Need high volume, a balanced mix of contributors or help writing your task? Send a message and we will set it up with you.