Face detector based on SqueezeNet light (half-channels) as a backbone with a single SSD for indoor/outdoor scenes shot by a front-facing camera. The backbone consists of fire modules to reduce the number of computations. The single SSD head from 1/16 scale feature map has nine clustered prior boxes.
Metric | Value |
---|---|
AP (WIDER) | 83.00% |
GFlops | 1.067 |
MParams | 0.588 |
Source framework | Caffe* |
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 60 x 60 pixels.
name: "input" , shape: [1x3x300x300] - An input image in the format [BxCxHxW], where:
Expected color order - BGR.
image_id
, label
, conf
, x_min
, y_min
, x_max
, y_max
], where:image_id
- ID of the image in the batchlabel
- predicted class IDconf
- confidence for the predicted classx_min
, y_min
) - coordinates of the top left bounding box cornerx_max
, y_max
) - coordinates of the bottom right bounding box corner.[*] Other names and brands may be claimed as the property of others.