Image-to-Text
TensorRT
ONNX
English
Japanese
text-detection
textline_detection
computer-vision
japanese
ocr
OCR
Instructions to use rtr46/mida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use rtr46/mida with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from rtr46/mida: direct link, hf CLI and curl.
- Browser
- Download file 585 Bytes
-
https://huggingface.co/rtr46/mida/resolve/main/README.md
- Command line
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hf download hf://rtr46/mida/README.md
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curl -L -o README.md https://huggingface.co/rtr46/mida/resolve/main/README.md
585 Bytes
metadata
tags:
- onnx
- text-detection
- textline_detection
- computer-vision
- japanese
- ocr
- OCR
library_name: tensorrt
language:
- en
- ja
pipeline_tag: image-to-text
mida text detector is the answer to the question: what would a text detection model look like that would be faster than meikiocr text detection, but more accurate than vita-vn-ocr textspot8 text detection?
inspiration:
this model is experimental, trained a limited time on a limited training data set