About CDSAML
Centre for Data Science and Applied Machine Learning(CDSAML) at PES University focuses on Image Processing, Computer Vision and Pattern Recognition using technologies from Artificial Intelligence, Machine Learning and Deep learning. Social Media Analytics using technologies from Statistical Machine Learning(SML), Natural Language Processing and Information Visualization. The goal of CDSAML is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization. The center conducts survey research, qualitative data collection, and data analysis.
Areas of Research 20
Face Recognition
Abnormal Event Detection
Scene understanding, Scene construction
Our Researchers 18
Publications 20
A New Approach to Detect Paste Forgeries in an Image
Kaushik Ravi , Nypunya Devraj, Shylaja S S,Fabric Composition Identification using Fine-Tuned Vision Transformers
Chirtra G M., Shylaja S S., Neha Angadi, Shreyas Raviprasad, Royston Tauro,Development and Evaluation of a Comprehensive Dataset for Pothole Depth Estimation of Indian Roads
Preethi P, Rohit Suresh, Mutasim M, Yashwin S, Sana SumanTools & Technologies 10
OpenCV
OpenCV is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products
Natural Language Toolkit
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
Deep learning Frameworks
Tensorflow, Theano, Keras, Caffe, Torch, Deeplearning4j, MXNet, Microsoft Cognitive Toolkit, Lasagne and BigDL.
Anaconda(Python Distribution)
Anaconda is the leading Open Data Science platform powered by Python for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment.
Anaconda(Python Distribution)
Anaconda is the leading Open Data Science platform powered by Python for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment. Anaconda includes an open source core Python distribution and over 700 packages.
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