A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
MIT License
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Published by emedvedev about 4 years ago
Published by emedvedev about 7 years ago
A computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
Quick run NLP in many task 快速运行分类、序列标注、匹配、生成等NLP任务的Tensorflow框架 (中文 NLP 支持分布式)
Lightweight & fast OCR models for license plate text recognition.
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize veri...
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Objective of this repo is to explain training process for tf2 and various state-of-the-art object...
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Implementation of Transformer Model in Tensorflow
Using Transfer Learning to build an logo Object Detection model for Tensorflow and Tensorflow Lit...
An image recognition/object detection model that detects handwritten digits and simple math opera...
YoloV3 Implemented in Tensorflow 2.0
An Image classifier to identify whether the given image is Batman or Superman using a CNN with hi...