Akshay L Chandra bio photo

Akshay L Chandra

M.Sc. Student at
University of Freiburg
Freiburg, Germany


My interests broadly lie in the fields of computer vision, machine learning and learning with limited labeled data (mainly active learning).


Other Projects

  • Deep Active Learning Toolkit for Image Classification
    A PyTorch toolkit, May 2021
    A PyTorch toolkit with 8 popular deep active learning query methods which include DBAL, VAAL, Coreset, Ensemble Variation-Ratio and more. Our toolkit currently supports CIFAR10/100, MNIST, SVHN, Tiny Imagenet and Long-Tails versions of CIFAR10/100.
  • Computer Vision with Deep Learning for Plant Phenotyping in Agriculture
    A Survey Article Published at Advanced Computing & Communications (ACC) India, March 2020
    In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make effective and customized crop management decisions based on data gathered from monitoring crop environments. Plant phenotyping techniques play a major role in accurate crop monitoring. Advancements in deep learning have made previously difficult phenotyping tasks possible. This survey aims to introduce the reader to the state of the art research in deep plant phenotyping.

  • Image & Bounding Box Annotation Slicer
    An Object Detection Data Transformer, April 2019
    This easy-to-use library is a data transformer mainly useful in Object Detection tasks. It slices images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrarynumber of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

  • Mouse Cursor Control With Facial Movements
    An HCI Application, October 2018
    This Human-Computer Interaction application in Python will allow you to control your mouse cursor with your facial movements, works with just your regular webcam. Its hands-free, no wearable hardware or sensors needed.

  • Robust Morse Code Converter (Incomplete)
    A Fun Deep Learning Application, August 2018
    This 4-in-1 application can convert Morse Code signalled in 4 different ways in real time. Namely, flashlight toggles, eye winking, hand gestures and mouse clicks.

  • Selfie Filters Using Facial Landmarks
    A Fun Facial Keypoints Application, May 2018
    This deep learning application in Python can put various sunglasses on a detected face (I am calling them ‘Selfie Filters’) by detecting the Facial Landmarks (15 unique points). These landmarks mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

  • Alphabet Recognition Through Gestures
    A Gesture Recognition Application, April 2018
    This deep learning application in python recognizes alphabet through gestures captured real time on a webcam. The user is allowed to write the alphabet on the screen using an object-of-interest (a water bottle cap in this case).