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Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.

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Retinanet Digit Detector

I have implemented retinanet digit detector using keras-retinanet package and svhn dataset.

Usage for python code

0. Requirement

  • python 3.6
  • tensorflow 1.10.0
  • keras 2.2.4
  • keras-retinanet 0.5.0

1. Digit Detection using pretrained weight file

In this project, the pretrained weight file is stored in resnet50_full.h5. Test set evaluation (13068-images) score is mAP: 0.8148

You can see the following figure:

2. SVHN dataset in Pascal Voc annotation format

In this project, I use pascal voc format as annotation information to train object detector. An annotation file of this format can be downloaded from svhn-voc-annotation-format.

3. Training from scratch

Please refer to main.py

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Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.

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