htr-united
iam-crnn-ctc-recognition
htr-united | iam-crnn-ctc-recognition | |
---|---|---|
1 | 1 | |
34 | 21 | |
- | - | |
8.0 | 3.6 | |
1 day ago | about 3 years ago | |
Python | Python | |
Creative Commons Zero v1.0 Universal | - |
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htr-united
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[P] Looking for OCR datasets for benchmark
While our own research focuses on HTR data, specifically on historical documents, you'll find prints ground truth on books of the 16th to 19th century in the catalog ( https://github.com/HTR-United/htr-united/blob/master/htr-united.yml ) as well as typed machine. You'll probably need to extract some stuff from these dataset.
iam-crnn-ctc-recognition
What are some alternatives?
French-Dictionary - CSV files containing all french adjectives, adverbs, conjunctions, determiners, nouns, prepositions, pronouns, verbs and their gender, types and conjugations
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
handprint - Apply different text recognition services to images of handwritten documents.
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)