Pinned Repositories
Automatic-Number-Plate-Recognition
Car and Licence Plate Segmentation using Faster RCNN was achieved with 97% accuracy and PyTesseract Model was used to perform OCR on the number plate.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Keras-Custom-Data-GANs
Lane-Following-Using-Deep-Learning-
Using Raspberry Pi and Pi cam , a simple robot was designed to follow lanes using Deep Learning.
LLM-Notebooks
Machine_Learning_Hackathons
Machine learning and Deep Learning Hackathon Solutions
Object-Detection-and-Instance-Segmentaion
Works on YoloV3, YoloV4 and MaskRCNN
Product-s-Name-and-Price-Recognition-on-Store-Shelf
High accuracy image classification model was trained to identify whether a shelf is empty or not. Tensorflow Object Detection, PyTesseract and image processing was used to recognise the product's name and price which was sent through email.
ArpanSM's Repositories
ArpanSM/Machine_Learning_Hackathons
Machine learning and Deep Learning Hackathon Solutions
ArpanSM/Product-s-Name-and-Price-Recognition-on-Store-Shelf
High accuracy image classification model was trained to identify whether a shelf is empty or not. Tensorflow Object Detection, PyTesseract and image processing was used to recognise the product's name and price which was sent through email.
ArpanSM/Automatic-Number-Plate-Recognition
Car and Licence Plate Segmentation using Faster RCNN was achieved with 97% accuracy and PyTesseract Model was used to perform OCR on the number plate.
ArpanSM/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
ArpanSM/Keras-Custom-Data-GANs
ArpanSM/Lane-Following-Using-Deep-Learning-
Using Raspberry Pi and Pi cam , a simple robot was designed to follow lanes using Deep Learning.
ArpanSM/LLM-Notebooks
ArpanSM/Object-Detection-and-Instance-Segmentaion
Works on YoloV3, YoloV4 and MaskRCNN