InsightFace vs SERVIR-ACES
InsightFace
github.comSERVIR-ACES
servir.github.ioSide by side
| Figure | InsightFace | SERVIR-ACES |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 0 |
| Spec score · AI Image Recognition Software | 8.7 (#7) | 6.1 (#32) |
| Support | The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support. | The project directs users to file GitHub issues to report bugs or submit feedback. |
Plans
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
In their own words
InsightFace
InsightFace provides software for face detection, recognition, alignment, and attribute analysis, with optional liveness, person analysis, video face redaction, and face swapping. PersonAnalysis detects people and faces, then matches them to registered identities using face and body references. PrivateFrame supports local video face tracking and blur or mosaic redaction through desktop, command-line, and Python workflows. Integration options include Python, a C/C++ SDK, and a self-hosted REST API. InsightFace Server runs in a Linux container and offers a web interface, REST API, and Python SDK for detection, comparison, enrollment, search, and RTSP monitoring. The Python package uses ONNX Runtime and requires Python 3.10 or newer. The code is MIT licensed, but pretrained models are limited to non-commercial research unless separately licensed for commercial use. The maker presents enterprise applications such as identity verification, access control, mobile and edge authentication, and large-scale face search. Commercial model use requires a separate license.
SERVIR-ACES
SERVIR-ACES has no write-up on Specifiction yet; its figures are above.