Drone Surveillance for Pedestrian Detection
We experimented and trained deep CNNs (RetinaNet, YOLO) for pedestrian detection using Stanford Drone Dataset.
Technologies used: Keras, Tensorflow, Google Colab, Python 3.6 
Projects
Satellite Image Object Detection and Annotation System (SIODAS)
It is a software for object detection in rural areas using satellite images from Google Map.
Consumer Health Information Search
This project is based on the detection of relevant texts from a document given an input sentence and then to find out whether those texts are supporting, opposing or neutral to the input sentence.