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.