Comments (6)
Hi, I evaluate DeepSolo on ReCTS recently. It achieves 78.3% 1-NED (voc_size: 5462, batch size 8, pretrained on SynthChinese130K+LSVT+ArT+ReCTS for 400K iterations, the same datasets as SwinTS, ABCNet-v2, ABINet++...), being 1.8% better than previous SOTA ABINet++ with far less training iterations. The result was made public on the official leadboard.
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Hi, it's a good question. Chinese spotting and multi-language spotting are in my plan. I'm working on this.
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Thank you for your reply. I synthesized a batch of Chinese datasets yesterday and tried it out. Using the current Deepsolo framework in the Chinese synthetic datasets has achieved good results. Looking forward to your multilingual version.
from deepsolo.
Good news. Thanks.
from deepsolo.
can you release the model trained on chinese dataset please?
from deepsolo.
Yes, it will be released in next few weeks.
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Related Issues (20)
- nan value HOT 2
- All pretrained model weight links is unavailable HOT 3
- Deepsolo++ model/code release
- load_zip_file Error loading the ZIP archive HOT 1
- How to custom japannese dataset?
- Cannot use ViT as a backbone
- No such file or directory: 'datasets/totaltext/train_37voc.json' HOT 2
- how to solve it? HOT 1
- TensorRT inference HOT 1
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- num_gpu
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- What is the specification of annotation and how to create the dataset?
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- FileNotFoundError: [Errno 2] No such file or directory: 'datasets/totaltext/test.json'
- Unavailability of Annotation Links in Totaltext Dataset HOT 2
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