Comments (6)
ICDAR2015 is only meant for evaluation, as this dataset does not contain enough data for training a deep model. You should train the model on synthetic datasets, like MJSynth, SynthText, and SynthAdd and then evaluate the model on the ICDAR2015 dataset.
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@Bartzi
Nevertheless, how can I train a text detection model?
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This model is meant for text recognition, not detection. It should be possible to use it for text detection, but I can guarantee that it won't work for a real world scene text detection problem right out of the box. I've tried myself and failed...
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But will you release the detection training code?
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Nope, since I don't have it anymore and it would take way too much time for me to adjust it to the current API. But if you really want to try, the current code should already be usable as a baseline, because you should not need to change the overall architecture of the network...
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:)
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Related Issues (18)
- Pretrained model & Dataset HOT 1
- cannot install without a GPU HOT 9
- Is it possible to use KISS on a test image? HOT 11
- SVT Evaluation HOT 1
- link to download SynAdd dataset.? HOT 4
- mjsynth.npz only has first letter of each word in "text" HOT 2
- Loss Functions HOT 25
- MultiGPU HOT 1
- How do you generate the mask in transformer model and process text labels to "class_id" ? HOT 3
- What is the inference speed of KISS ? HOT 4
- Change the num_words_per_image without training again HOT 1
- Some of files in the link are not downloadable. HOT 3
- Use pretrained model and continue training on own data HOT 1
- [Help] Using Pretrained Model HOT 6
- what is gt.mat? HOT 2
- The data link is broken HOT 3
- Windows fatal exception: Access violation
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