MediaPipe vs Tencent Cloud Face Recognition
MediaPipe
developers.google.comTencent Cloud Face Recognition
cloud.tencent.comSide by side
| Figure | MediaPipe | Tencent Cloud Face Recognition |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 8 |
| Spec score · AI Image Recognition Software | 8.6 (#8) | 5.6 (#37) |
Plans
Tencent Cloud Face Recognition
- Face detection and analysis — postpaidPriced on request
- Facial landmark localization — postpaidPriced on request
- Face comparison — postpaidPriced on request
- Face verification — postpaidPriced on request
- Face search — postpaidPriced on request
- Person database management — postpaidPriced on request
- Static liveness detection, high accuracy — postpaidPriced on request
- Face detection and analysis resource packagePriced on request
In their own words
MediaPipe
MediaPipe gives developers libraries, tools, ready-to-run models and customizable APIs for adding AI and machine learning to applications. Its vision tasks include face and hand landmarks, gesture recognition, image classification and segmentation, object detection, and pose landmarks. Text tasks cover language detection, classification, embeddings, proofreading and summarization, with audio classification also available. MediaPipe Tasks supports Android, Web/JavaScript, Python and iOS; its cross-platform APIs are described as requiring as few as five lines of code for inference. The optimized on-device pipelines use CPU, GPU and TPU acceleration for real-time use cases. Developers can try web samples in MediaPipe Studio with text, webcam input or uploaded images. Model Maker supports transfer learning for compatible models, but it is deprecated and cannot change a model's original task. Solution API inputs are processed on-device and not sent to Google; usage and performance metrics are sent to Google. The framework can be built from source for Linux, macOS, Windows and Docker, with some configurations marked experimental.
Tencent Cloud Face Recognition
Tencent Cloud Face Recognition has no write-up on Specifiction yet; its figures are above.