Aanisha Bhattacharyya

Published in Towards AI

·Sep 26, 2020

Detecting Marine Creatures using the Monk Object Detection Library

The Monk Object Detection Library is a low code library to perform object detection very easily and efficiently. — About the project: Brackish water creatures as fish, crabs, prawns are consumed by people all over the world. Fishermen fishing on these creatures tend to over-fish creating concern over marine biologists and scientists. As many marine creatures are becoming endangered.But what if we had a detector, that could detect these creatures. …

Machine Learning

4 min read

Detecting Marine Creatures using the Monk Object Detection Library

Machine Learning

4 min read

Published in Voice of Code

·Aug 23, 2020

Aerial Image Classification using Monk AI

This classifier can classify aerial images, specifically between images captured by drones or images taken from helicopters/airplanes. Seven classes corresponding to coarse ground occupancy labels have been provided : Orchard, Vineyard, Urban, Forest , Water, Crop and Land. The classifier can be used to actively study and survey ground patches…

Computer Vision

5 min read

Aerial Image Classification using Monk AI

Computer Vision

5 min read

Published in Towards AI

·Aug 15, 2020

Sign Language Classification using Monk AI

The Monk AI library is a low code library, for Computer Vision, that supports Mxnet-Gluon, Pytorch, and Keras backend. This is an amazing library that allows us to solve CV problems, easily. About the project: This project is to classify between the sign languages, corresponding to the alphabets, and thereby allow us to…

Deep Learning

4 min read

Sign Language classification using MonkAI

Deep Learning

4 min read

Published in Towards AI

·Jul 21, 2020

Building a Super-resolution Image Web-app

In this article, we will build a web-app trained on the SRCNN model. — On giving an image as input, it reconstructs a higher resolution image of the same. I made this app, as my pilot task for Tessellate coding. The task included finding a suitable model, making the inference algorithm, wrapping it in a REST API, and finally dockerizing the application. For the…

Image Super Resolution

5 min read

Building a super-resolution image web-app

Image Super Resolution

5 min read

Published in Level Up Coding

·Jun 8, 2020

Generative Adversarial Network

Generative Adversarial Networks or GANs were first reported on in 2014 from Ian Goodfellow and others in Yoshua Bengio’s lab. Since then, GANs have exploded in popularity. Here are a few examples to check out: Pix2Pix CycleGAN & Pix2Pix in PyTorch, Jun-Yan Zhu A list of generative models The idea…

Deep Learning

6 min read

Deep Learning

6 min read

Published in Voice of Code

·Mar 23, 2020

Easy guide with NumPy Data-Structures

Deep learning and Machine Learning,are the two most hot topics in field of technology,but it involves a lot of matrix math, and it’s important for us to understand the basics before diving into building our own neural networks. NumPy is a Python Library, to work easily and efficiently with matrices…

Numpy

5 min read

Numpy

5 min read

Sep 8, 2019

Using APIs in website,the easy way

Ever felt that you want to use API search results in your website or web app, yet thought that its to cumbersome to use it. Using Jquery, you can do it in a snap.Irrespective of the framework you use, React, Angular or pure Vanilla. Make the basic structure : You just need this much. Here…

2 min read

2 min read

Jul 18, 2019

Build a cool Image Editor with CSS and Caman.js

Making an image editor,does not require knowledge of heavy libraries or pixel manipulation.Its very easy to do,using Caman.js and simple CSS and HTML. Getting Caman.js library: Run these commands in your Terminal. npm (NodeJS): npm install caman bower (Browser):bower install caman Or get cdn link from: https://cdnjs.com/libraries/camanjs Setting the UI: You can design the UI as…

2 min read

Build a cool Image Editor with CSS and Caman.js

2 min read