The key benefit of this model compared to the base model is its smaller size and faster performance.
|F-measure (harmonic mean of precision and recall on ICDAR2013)||88.45%|
input, shape: [1x3x704x704] - An input image in the format [1xCxHxW], where:
Expected color order - BGR.
boxesis a blob with shape: [N, 5], where N is the number of detected bounding boxes. For each detection, the description has the format: [
y_min) - coordinates of the top left bounding box corner
y_max) - coordinates of the bottom right bounding box corner.
conf- confidence for the predicted class
labelsis a blob with shape: [N], where N is the number of detected bounding boxes. In case of text detection, it is equal to
0for each detected box.
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