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This repository contains ipynb files showing problem solving steps for a "Handwitten Character Recognition" problem. This was done in fulfillment of the MIDAS@IIITD Summer Internship/RA Task 2021.
The goal of this project is to devise an accurate CNN-based classifier able to distinguish between Cat and Dog in images where the animal is predominant.
The moto of the project is automate the parking system through camera .Using yolo-v5 model detect number plate and retrieve information using AWS texract.
PyTorch-based framework for high-level development of image models. Customize your model with combinations and replacement on classification / detection modules.
In this assignment I have to build a Mask R-CNN based keypoint detector model using Detectron2. Detectron2 was written in PyTorch and contains many state-of-the-art obejct detection models with pretrained weights.