How to fine tune the detector and the recogniser for a custom dataset?

[Pusse-01]

Can anyone explain what is the format of the data or how is the dataset should be feeded to the model to fine tune. I have a set of images which have been labeled each and every character by drawing bounding boxes. So how I could fine tune the model using this data set to increase the accuracy of my model.

[JackSadigov]

Hi.
I am also looking for the same here.
I tried Convert PASCAL dataset to TFRecord for object detection in TensorFlow explained here but got an error with ''annotations has no object".

[seansteel3]

@Pusse-01 and @JackSadigov here is an excellent guide that will take you through retraining: https://keras-ocr.readthedocs.io/en/latest/examples/end_to_end_training.html

There are two open issues related to:
Detector Batch size: #218
Recognizer retraining: #231

For the recognizer retraining Oadon's solution worked for me, I did not attempt geo-tp's but it probably works too. Obviously make sure you're data is in the same format as the guide (or edit the guide accordingly) to retrain.