Face Verification (Version 2)
We have created a very deep convolutional neural network to extract very high-level features from a face for each person. We have provided a large-scale image database of faces from many sources e.g. web crowdsourcing, our built-in house dataset. There is a lot of diversity of races in the database. Our model inference time is 115ms on Intel CPU corei7 6700k. Especially in our solution, we save…
9 subscribers
8.5/10 popularity
685 ms avg latency
100% success rate
1 endpoints
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Face Verification (Version 2) endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST |
Face Verification (Version 2) /FaceVerification |
PresentID Photo ID matching API evaluates whether two faces belong to the same person or not. Face verification ensures a one-to-one (1:1) match of a face image captured at the… |
Face Verification (Version 2) pricing
| Plan | Price | Rate limit | Quotas |
|---|---|---|---|
| BASIC | Free | — |
|
| PRO Recommended | Free | — |
|
