Consent before capture
The task states the AI purpose. Adults opt in, then submit only their own face.
Face Data · IndiaFace Data Collection
Face Data Collection
in India
Collect consented adult selfies and short face videos in India for recognition, liveness and fairness testing. You set the capture rules and approve every file.
Built for Indian users
Fill gaps that Western-heavy face sets miss — ages, appearance and phone conditions.
You gate every file
Nothing is paid until you approve the selfie or clip against your brief.
200+
Countries
13,487
Tasks posted
195,000+
Workers available
~4 Hours
Average time to first results
Why India
What Breaks Face Models on Indian Users
If your training set under-represents the people who open your app in India, error rates and fairness gaps show up in production. Collect the missing consented samples.
Coverage your users have
Age bands, genders and appearance ranges that rarely dominate Western training sets — named in your brief, enforced in review.
Phone conditions, not studios
Front cameras, tube lights, daylight on balconies and mixed indoor glare — the setup people use for real apps.
Occlusions you will see
Glasses, head coverings, headphones and partial framing. Ask for with/without pairs when the model must stay robust.
Consent is the product
Scraped faces and grey-market packs fail diligence. Here every sample is from an adult who opted into your stated purpose.
Consent
Biometric Data Needs a Clear Opt-In
Buyers care about provenance. Every file here traces to an adult in India who agreed to your stated purpose — not a scraped dump.
Purpose in plain words
State that people will capture their own face and that files train AI. Contributors see this before they accept the task.
Adults. Own face. No proxies.
Only 18+. Only the person in the photo. Reject children, group shots and someone else’s face — before payout.
You own the compliance plan
Face images are personal data under India’s DPDP Act, 2023. Decide storage, retention and use before you launch; RapidWorkers is the collection channel.
Face Data Types
Capture Modes That Match Real Failures
Pick the failure mode you are fixing — angles, expression, liveness, lighting, occlusion or cohort balance — then write that into one India task.
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
Fairness · India
Build the cohorts your eval needs
Specify age bands, gender mix or regions in the brief and grow the set until review shows the balance you need for fairness testing in India.
- Adults 18+ only
- Mix defined in your instructions
- Extend the task until quotas look right
Brief & Mix
How You Shape Who Takes Part
The platform sends the task to adults in India. Your instructions and your review decide which faces enter the dataset.
Country is India — brief does the rest
Targeting is by country. Name city, state or region in the instructions and reject files that do not match.
Write the demographic gate
Age band, glasses on/off, beard, lighting — whatever your model needs. Review is how the mix stays honest.
Show the framing you want
Attach reference stills for distance, crop and angle so the first batch is usable, not a guessing game.
One adult, one submission
Each person completes the task once. Raise the submission count to add more unique faces, not more files from the same person.
Task ExampleFrom Brief to
From Brief to
Approved Files
A face task is a capture brief plus a review gate. India is the country filter; consent and quality live in your instructions and approvals.
Your setup
What you configure
Image or video collection, country India, file count per person, and instructions that name purpose, age rule and capture steps.
- Country: India
- 18+, own face only
- Angles / liveness steps listed
Your view
What lands in review
One adult’s files plus any notes you asked for. Pay only after the set matches framing, identity and consent rules.
- Unique contributor per submission
- Reject wrong person or age
- Extend the same task to grow the set
Compare
Studio Packs vs Consented Collection
Face data buyers usually choose between opaque broker packs and controlled collection. RapidWorkers is the second path: you own the brief and the review gate.
What to check
Studio / broker pack
RapidWorkers
Provenance
Often opaque source lists
Named task, opted-in adults in India
Consent
Buried in vendor paperwork
Purpose shown before accept; you keep the brief
Start
Quote cycle and minimum volume
Launch a pilot the same day from $0.30
Control
Vendor shoots, you wait on delivery
You approve or reject every file
Iteration
Change order = new negotiation
Tighten the brief and extend the same task
Pricing
Per-face project quote
You set pay per submission + 15% fee
How We Work
Self-Serve Review or Managed Delivery
Keep the approval gate yourself, or have our team run recruitment, consent checks and QC for India.
Self-serve
You write the brief and approve files
Launch an India face task, state purpose and capture rules, then accept or reject every selfie and clip yourself.
Create a face task for IndiaFully managed
We run cohort coverage and QC
We recruit adults, enforce your demographic and consent rules, check files and deliver the set in the format you need.
Talk to usPricing
Pay Per Submission, Not Per Opaque Pack
Rate follows effort: one selfie costs less than a five-angle set or a liveness clip. The 15% platform fee is included in the estimate.
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FAQ
Frequently Asked Questions
How does consent work for face data in India?
Your task must say people will capture their own face and that files train AI. Adults read that before accepting. You still decide storage and use under the DPDP Act, 2023 — RapidWorkers is the collection channel.
Who is allowed to submit?
Adults 18+ only, and only their own face. Reject children, other people’s photos and group shots before payout.
Can I collect a specific age band or city?
Country targeting is India. Put age band, city or region in the instructions and reject files that miss the rule. Extend the task until the mix looks right.
How do I stop someone uploading another person’s face?
Require live capture rules (angles, blinks, head turns), compare files across the set and reject anything that looks like a downloaded photo or a different person.
Photos and videos in the same project?
Yes. Use image collection for selfie sets and video collection for liveness clips. Keep purpose and age rules identical across both tasks.
What does a submission cost?
You set pay from $0.10, plus a 15% platform fee. Multi-angle sets and clips need higher rates. Campaigns start from $0.30.
Can you run the project for us?
Yes. We can recruit adults in India, enforce your consent and demographic rules, QC files and deliver in your format.