AI Facial Recognition Training Videos Needed
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
Urgent: Smartphone Video Data Collection Project (Multiple Slots Open)
PROJECT OVERVIEW:
We are urgently looking for remote participants to complete a quick, one-time face motion video collection project to train computer vision models. Multiple slots are open immediately.
WHO CAN PARTICIPATE:
• Male Candidates: Aged 36–50
• Female Candidates: Any age (18+)
• Must have a valid smartphone (with front and back camera capability).
• Must submit a basic identity verification document (School ID, Aadhaar, PAN, or DL) where private ID numbers are crossed out/hidden, but Name, DOB, Photo, and Country are clearly visible.
PROJECT TASKS & GUIDELINES:
This project includes different video tasks. Complete guidelines and a step-by-step training video will be shared via chat. Ensure you can fulfill these technical benchmarks:
1. Frame Setup: Phone must be kept vertical and straight. Look directly into the camera lens.
2. Recording Settings: Must be recorded at exactly 30 FPS using your smartphone camera.
3. Lighting Environments: Requires recordings in both Bright Daylight and Low-Light setups (e.g., turning off home lights for natural low light).
4. Motion Requirements: Tasks vary from strict front-camera positioning (no hand visibility, no circular nose movements) to specific back-camera motion prompts (moving your head as if touching 7-8 imaginary dots on the screen with your nose).
5. Background: Indoor tasks must be shot against a clean setup resembling an office or home-office background.
COMPENSATION:
• We pay a flat rate of ₹450 INR per approved video dataset.
• This is a bulk vacancy project. If you have family members or friends who fit the demographics (especially males 36-50), you can submit multiple entries for additional payouts.
• Client review takes 3–5 working days before milestones are released.
TO APPLY:
Please bid and confirm:
1. Your age and gender.
2. Your mobile phone model.
3. If you can record at 30 FPS today.
Note: no skill is required, just 15 to 20 minutes of time along with candidates following the age criteria properly.
PROJECT OVERVIEW:
We are urgently looking for remote participants to complete a quick, one-time face motion video collection project to train computer vision models. Multiple slots are open immediately.
WHO CAN PARTICIPATE:
• Male Candidates: Aged 36–50
• Female Candidates: Any age (18+)
• Must have a valid smartphone (with front and back camera capability).
• Must submit a basic identity verification document (School ID, Aadhaar, PAN, or DL) where private ID numbers are crossed out/hidden, but Name, DOB, Photo, and Country are clearly visible.
PROJECT TASKS & GUIDELINES:
This project includes different video tasks. Complete guidelines and a step-by-step training video will be shared via chat. Ensure you can fulfill these technical benchmarks:
1. Frame Setup: Phone must be kept vertical and straight. Look directly into the camera lens.
2. Recording Settings: Must be recorded at exactly 30 FPS using your smartphone camera.
3. Lighting Environments: Requires recordings in both Bright Daylight and Low-Light setups (e.g., turning off home lights for natural low light).
4. Motion Requirements: Tasks vary from strict front-camera positioning (no hand visibility, no circular nose movements) to specific back-camera motion prompts (moving your head as if touching 7-8 imaginary dots on the screen with your nose).
5. Background: Indoor tasks must be shot against a clean setup resembling an office or home-office background.
COMPENSATION:
• We pay a flat rate of ₹450 INR per approved video dataset.
• This is a bulk vacancy project. If you have family members or friends who fit the demographics (especially males 36-50), you can submit multiple entries for additional payouts.
• Client review takes 3–5 working days before milestones are released.
TO APPLY:
Please bid and confirm:
1. Your age and gender.
2. Your mobile phone model.
3. If you can record at 30 FPS today.
Note: no skill is required, just 15 to 20 minutes of time along with candidates following the age criteria properly.
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