The mobilenet-ssd model is a Single-Shot multibox Detection (SSD) network intended to perform object detection. This model is implemented using the Caffe* framework. For details about this model, check out the repository.
The model input is a blob that consists of a single image of 1x3x300x300 in BGR order, also like the densenet-121 model. The BGR mean values need to be subtracted as follows: [127.5, 127.5, 127.5] before passing the image blob into the network. In addition, values must be divided by 0.007843.
The model output is a typical vector containing the tracked object data, as previously described.
| Metric | Value |
|---|---|
| Type | Detection |
| GFLOPs | 2.316 |
| MParams | 5.783 |
| Source framework | Caffe* |
| Metric | Value |
|---|---|
| mAP | 79.8377% |
Image, name - prob, shape - 1,3,300,300, format is B,C,H,W where:
B - batch sizeC - channelH - heightW - widthChannel order is BGR. Mean values - [127.5, 127.5, 127.5], scale value - 127.5.
Image, name - prob, shape - 1,3,300,300, format is B,C,H,W where:
B - batch sizeC - channelH - heightW - widthChannel order is BGR
The array of detection summary info, name - detection_out, 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:
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 corner (coordinates are in normalized format, in range [0, 1])x_max, y_max) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1])The array of detection summary info, name - detection_out, 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:
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 corner (coordinates are in normalized format, in range [0, 1])x_max, y_max) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1])The original model is distributed under the following license: