Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 11 months ago

MODERATORS

communick@academy.garden

SOTA IN OCR [D] (alien.top)

submitted 10 months ago by spacejunk1995@alien.top to c/machinelearning@academy.garden

8 comments fedilink hide all child comments

I am beginner in ml,how do I get myself updated with current state of OCR. If I want to get better results than Tesseract or EasyOCR ,what path should I follow.i basically want near 100% accuracy in identifying typed/digital characters and their location in image. Is this solved ?? Any guidance would be helpful 🙏🙏

you are viewing a single comment's thread
view the rest of the comments

[–] Jackrecke@alien.top 1 points 10 months ago

hey there, as a beginner in ml, staying updated on OCR is key. to surpass Tesseract or EasyOCR, focus on deep learning models, like CNNs or transformers. achieving near 100% accuracy is tough, but pre-processing, data augmentation, and model fine-tuning can help get you there. it's not fully solved, but keep experimenting and learning. good luck! 🙏