face-detection-0104

Use Case and High-Level Description

Face detector based on MobileNetV2 as a backbone with a multiple SSD head for indoor and outdoor scenes shot by a front-facing camera. During the training of this model, training images were resized to 448x448.

Example

face-detection-0104.png

Specification

Metric Value
AP (WIDER) 92.74%
GFlops 2.406
MParams 1.851
Source framework PyTorch*

Average Precision (AP) is defined as an area under the precision/recall curve. All numbers were evaluated by taking into account only faces bigger than 64 x 64 pixels.

Performance

Inputs

Name: input, shape: [1x3x448x448] - An input image in the format [BxCxHxW], where:

Expected color order: BGR.

Outputs

The net outputs a blob with the shape: [1, 1, N, 7], where N is the number of detected bounding boxes. For each detection, the description has the format: [image_id, label, conf, x_min, y_min, x_max, y_max], where:

Legal Information

[*] Other names and brands may be claimed as the property of others.