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
|
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
-
hf download hf://rtr46/mida/README.md
-
curl -L -o README.md https://huggingface.co/rtr46/mida/resolve/main/README.md
585 Bytes
| 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: | |
| - https://huggingface.co/rtr46/meiki.text.detect.v0 | |
| - https://github.com/bee-san/vita-vn-ocr | |
| this model is experimental, trained a limited time on a limited training data set |