bgshih/crnn
crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
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bgshih
bgshih • individual
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2,102
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550
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Created
Dec 19, 2015
Project creation date
README Summary
This repository implements a Convolutional Recurrent Neural Network (CRNN) architecture for recognizing text sequences in images. The model combines CNN features for spatial representation with RNN layers for sequence modeling, enabling end-to-end training for tasks like scene text recognition and handwritten text recognition.
AI Dev Skills
Unmapped
Convolutional Neural NetworksRecurrent Neural NetworksOptical Character RecognitionComputer VisionDeep LearningImage-to-Text ProcessingConnectionist Temporal ClassificationFeature ExtractionSequence Recognition
Tags
Convolutional Neural NetworksRecurrent Neural NetworksOptical Character RecognitionComputer VisionDeep LearningImage-to-Text ProcessingConnectionist Temporal ClassificationFeature ExtractionSequence RecognitionOn-premiseHandwritten Text RecognitionReceipt ProcessingStreet Sign ReadingTextManufacturingPublishingSelf-hostedRetailDocument ProcessingDocument DigitizationScene Text RecognitionImageAutomotiveLicense Plate RecognitionLua
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Recent Activity
Updated 7 years ago
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Quality
research- Quality
- medium
- Maturity
- research
Categories
RAG & RetrievalPrimaryOther AI / MLComputer Vision
PM Skills
Product DiscoveryData & Evaluation
Languages
Lua100.0%
Timeline
- Project created
- Dec 19, 2015
- Forked
- Mar 23, 2026
- Your last push
- 7 years ago
- Upstream last push
- 7 years ago
- Tracked since
- Mar 4, 2019
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