MaybeShewill-CV/CRNN_Tensorflow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1039 stars · 382 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A TensorFlow implementation of CRNN (CNN + Bi-LSTM + CTC loss) for scene text recognition, based on the Shi et al. paper. It includes pretrained weights on Synth90k, evaluation scripts, and single-image inference tools.

Use cases

• recognize text in natural scene images
• run OCR on cropped text line images
• train a CRNN model with CTC loss
• evaluate a text recognition model on Synth90k
• recognize Chinese text in images

When to choose

• you need a classic CRNN text recognition implementation with pretrained Synth90k weights
• you want to train or fine-tune a CNN+LSTM+CTC recognizer in TensorFlow
• you need per-character and full-sequence accuracy metrics for OCR evaluation

When to avoid

• you need modern transformer-based OCR or detection plus recognition end-to-end
• you require recent TensorFlow 2.x or PyTorch support
• you need actively maintained code with up-to-date dependencies

Facets

library · maturity maintenance

ocr machine-learning image-processing deep-learning computer-vision image-processing machine-learning deep-learning python crnn ctc-loss scene-text-recognition tensorflow chinese-ocr lstm linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MaybeShewill-CV/CRNN_Tensorflow")