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英文字典中文字典相关资料:


  • GitHub - Bhashini-IITJ IndicPhotoOCR: Comprehensive Scene Text . . .
    IndicPhotoOCR is a scene text recognition toolkit designed for detecting, identifying, and recognizing text across Indian languages, including Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, and English, with support for Urdu and Meitei in the pipeline It is built to handle the unique scripts and complex structures of Indian languages, offering
  • Towards Deployable OCR Models for Indic Languages - arXiv. org
    Our focus is on text recognition in 13 official languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Manipuri, Marathi, Oriya, Punjabi, Tamil, Telugu, and Urdu
  • Ocrbench Leaderboard - a Hugging Face Space by echo840
    This app loads OCRBench CSV files and displays interactive tables that rank OCR models across tasks such as text recognition, scene‑text VQA, and document‑oriented VQA Users provide the benchmark
  • GitHub - indic-ocr tessdata: Better models for Indic Scripts
    What have we done different? Though Tesseract supports Indic scripts, the approach tesseract takes to train models for languages like Tamil, Malayalam, Oriya, Gujarati, Kannada and Telugu is same as those for English, French or Spanish
  • OCR Synthetic Benchmark Dataset for Indic Languages
    We present the largest publicly available synthetic OCR benchmark dataset for Indic languages The collection contains a total of 90k images and their ground truth for 23 Indic languages OCR model validation in Indic …
  • Daily Papers - Hugging Face
    We have centered our work on 10 prominent Indic languages, including Hindi, Bengali, Marathi, Telugu, Tamil, Gujarati, Kannada, Odia, Malayalam, and Punjabi Each of these news datasets comprises 10 or more classes of news articles
  • Transformer OCR for Indian Languages - GitHub
    This model is composed of an image Transformer encoder and an autoregressive text Transformer decoder, enabling it to accurately perform OCR In this repository, you will find TrOCR, an OCR model specifically developed for recognizing handwritten Indian documents in various languages including Hindi, Tamil, Malayalam, Bengali, and more
  • Towards Deployable OCR models for Indic languages
    The study is conducted for 13 Indian languages, using an internal dataset that has around 1000 pages per language We study the choice of line vs word as the recognition unit, and use of synthetic data to train the models We compare our models with popular publicly available OCR tools for end-to-end document image recognition
  • krutrim-ai-labs Chitrarth · Hugging Face
    This model is trained primarily on multilingual image-text data and is designed to work across 10 prominent Indian languages, including Hindi, Bengali, Telugu, Tamil, Marathi, Gujarati, Kannada, Malayalam, Odia, and Assamese, as well as English
  • IndicPhotoOCR README. md at main · Bhashini-IITJ IndicPhotoOCR
    IndicPhotoOCR is a scene text recognition toolkit designed for detecting, identifying, and recognizing text across Indian languages, including Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, and English, with support for Urdu and Meitei in the pipeline It is built to handle the unique scripts and complex structures of Indian languages, offering
  • ai4bharat indic-bert · Hugging Face
    IndicBERT has much fewer parameters than other multilingual models (mBERT, XLM-R etc ) while it also achieves a performance on-par or better than these models The 12 languages covered by IndicBERT are: Assamese, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu The code can be found here





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