Diverse Selfie Dataset Needed

Job ID: 39999604

Budget: ₹600 – ₹1,500 INR

I’m building a cross-platform (iOS and Android) app that relies on on-device face recognition. To train and fine-tune our model I need a fresh, rights-cleared collection of selfie photos covering a wide range of ages, skin tones, lighting conditions, and poses.

What I’m after
• 9 high-resolution selfies per contributor, shot on the phone’s front camera and 2 videos
• Neutral, smiling, and expressive looks; slight head turns left/right and up/down
• A mix of indoor and outdoor lighting, plus at least one low-light image
• No hats, masks, or heavy filters—glasses are fine in half of the shots

File & metadata
• JPEG or PNG, minimum 1080 × 1920 px
• A simple CSV listing file name, age range, gender (optional), device model, and lighting (indoor / outdoor / low-light)
• Written consent that the images can be used for face recognition research inside the app and not redistributed elsewhere

Acceptance
I’ll verify image quality, variety, and metadata completeness. Payments release once a random 10 % sample passes the checks.

If you already have access to participants, let me know roughly how many unique faces you can provide and your timeframe. I’m ready to get started right away and can scale the order if your pool is large enough.