smartlab-object-detection-0004¶

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.

Average Precision (AP) is defined as an area under the precision/recall curve.

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, 8, format is B, N, 8, where:

Detection box has format [x, y, h, w, box_score, class_no_1, …, class_no_3], 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_3 - probability distribution over the classes in logits format.

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