Qualcomm® AI HubAI Hub

Lightweight-Face-Detection

Lightweight and efficient face detector.

A small and accurate model for detecting bounding boxes for faces in images. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image.

Model RepositoryHugging Face

Technical Details

Model checkpoint:qfd360_sl_model.pt
Inference latency:RealTime
Input resolution:480x640
Number of parameters:878K
Model size (float):3.37 MB
Model size (w8a8):965 KB
Model size (w8a16):1.09 MB

Applicable Scenarios

  • Incabinet driver monitoring, phone unlocking, and building access control.

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI-HUB-MODELS-LICENSE

Tags

  • real-time

Supported IoT Devices

  • QCS6490 (Proxy)
  • QCS8250 (Proxy)
  • QCS8275 (Proxy)
  • QCS8550 (Proxy)
  • QCS9075 (Proxy)
  • RB3 Gen 2 (Proxy)
  • RB5 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS6490 (Proxy)
  • Qualcomm® QCS8250 (Proxy)
  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075 (Proxy)

Looking for more? See models created by industry leaders.

Discover Model Makers