smartlab-object-detection-0003

Use Case and High-Level Description

This is a smartlab object detector that is based on YoloX for 416x416 resolution.

Accuracy metrics obtained on Smartlab validation dataset with yolox adapter for converted model.

Image, name: images, shape: 1, 3, 416, 416 in the format B, C, H, W, where:

Expected color order is BGR.

The array of detection summary info, name - output, shape - 1, 3549, 15, format is B, N, 15, where:

Detection box has format [x, y, h, w, box_score, class_no_1, ..., class_no_10], where:

(x, y) - raw coordinates of box center
h, w - raw height and width of box
box_score - confidence of detection box
class_no_1, ..., class_no_10 - probability distribution over the classes in logits format.

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