Eye Image Quality Checker
## Overview This API uses a deep learning model (ResNet50) to determine whether a submitted image is a **clinically usable anterior segment eye photograph**. It was developed as part of the Eye Home Clinic telemedicine project and validated in a peer-reviewed publication in MDPI Informatics (2025). ## ⚠️ Important: Input Image Requirements This model was trained on close-up smartphone eye…
1 subscribers
7.7/10 popularity
1828 ms avg latency
100% success rate
1 endpoints
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Eye Image Quality Checker endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST |
Eye Check /v1/eye-check |
Upload a close-up smartphone eye photograph to determine if it is clinically usable for anterior segment analysis. Image must be a close-up eye photo equivalent to 5x smartphone… |
Eye Image Quality Checker pricing
| Plan | Price | Rate limit | Quotas |
|---|---|---|---|
| BASIC | Free | 1 / hour |
|
| PRO Recommended | $39 / month | 20 / hour |
|
| ULTRA | $79 / month | 60 / hour |
|
| MEGA | $200 / month | 200 / hour |
|
