- deep-text-recognition-benchmark VS Transformer-Explainability
- deep-text-recognition-benchmark VS Calliar
- deep-text-recognition-benchmark VS ocrit
- deep-text-recognition-benchmark VS GenerativeImage2Text
- deep-text-recognition-benchmark VS T2T-ViT
- deep-text-recognition-benchmark VS sonic
- deep-text-recognition-benchmark VS Transformers-Tutorials
- deep-text-recognition-benchmark VS macOCR
- deep-text-recognition-benchmark VS vision_transformer_tf
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sonic
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Transformer-Explainability
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vision_transformer_tf
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deep-text-recognition-benchmark discussion
deep-text-recognition-benchmark reviews and mentions
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Building an Internet Scale Meme Search Engine
https://github.com/roatienza/deep-text-recognition-benchmark (available weights are for tasks that seem similar to OCR so there is a good chance you can use it out of the box). With a good gpu it should process hundreds to thousands image per seconds, so you likely can build your index in less than a day. (Maybe you can even port it to your iphone stack :) )
https://github.com/microsoft/GenerativeImage2Text (You'll probably have to train on your custom dataset that you have constituted)
There are tons of other freely available solutions that you can get with a search for things with keywords like "image to text ocr" "transformers" "visual transformers"...
Stats
roatienza/deep-text-recognition-benchmark is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of deep-text-recognition-benchmark is Jupyter Notebook.