Category: Image

Advanced, Computer Vision, Image, Image Analysis, NLP, Project, Python, Unstructured Data

Text detection from images using EasyOCR: Hands-on guide

# Changing the image path IMAGE_PATH = ‘Turkish_text.png’ # Same code here just changing the attribute from [‘en’] to [‘zh’] reader = easyocr.Reader([‘tr’]) result = reader.readtext(IMAGE_PATH,paragraph=”False”) result Output: [[[[89, 7], [717, 7], [717, 108], [89, 108]], ‘Most Common Texting Slang in Turkish’], [[[392, 234], [446, 234], [446, 260], [392, 260]], ‘test’], [[[353, 263], [488, 263], [488, 308], [353, 308]], ‘yazmak’], [[[394, 380], [446, 380], [446, 410], [394, 410]], ‘link’], [[[351, 409], [489, 409], [489, 453], [351, 453]], ‘bağlantı’], [[[373, 525], […]

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Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

Implementation of Attention Mechanism for Caption Generation on Transformers using TensorFlow

Overview Learning about the state of the art model that is Transformers. Understand how we can implement Transformers on the already seen image captioning problem using Tensorflow Comparing the results of Transformers vs attention models.   Introduction We have seen that Attention mechanisms (in the previous article) have become an integral part of compelling sequence modeling and transduction models in various tasks (such as image captioning), allowing modeling of dependencies without regard to their distance in the input or output […]

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Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python

Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python   Introduction The attention mechanism is a complex cognitive ability that human beings possess. When people receive information, they can consciously ignore some of the main information while ignoring other secondary information. This ability of self-selection is called attention. The attention mechanism allows the neural network to have the ability to focus on its subset of inputs to select specific features.  In recent […]

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Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

Create your Own Image Caption Generator using Keras!

Overview Understand how image caption generator works using the encoder-decoder Know how to create your own image caption generator using Keras   Introduction Image caption Generator is a popular research area of Artificial Intelligence that deals with image understanding and a language description for that image. Generating well-formed sentences requires both syntactic and semantic understanding of the language. Being able to describe the content of an image using accurately formed sentences is a very challenging task, but it could also […]

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Deep Learning, Image, NLP, Project, Python, PyTorch, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

Automatic Image Captioning using Deep Learning (CNN and LSTM) in PyTorch

Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way to get deeper into Deep Learning is to get hands-on with it. Take up as much projects as you can, and try to do them on your own. This would help you grasp the topics in more depth and assist you in becoming a better Deep Learning practitioner. In this article, we will take a look […]

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Computer Vision, Datasets, Deep Learning, Image, Listicle, NLP, Research & Technology, Text, Unstructured Data Leave a comment

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your […]

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Classification, Computer Vision, Deep Learning, Image, Libraries, NLP, Programming, Python, PyTorch, Supervised, Unstructured Data Leave a comment

Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)

Introduction PyTorch v TensorFlow – how many times have you seen this polarizing question pop up on social media? The rise of deep learning in recent times has been fuelled by the popularity of these frameworks. There are staunch supporters of both, but a clear winner has started to emerge in the last year. PyTorch was one of the most popular frameworks in 2018. It quickly became the preferred go-to deep learning framework among researchers in both academia and the […]

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