Multi-object Detection System for Plant Stomata Phenotypic Traits, release only, which has been published on IEEE/ACM-TCBB 2021 (CCF-B)
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Updated
Apr 3, 2022
Multi-object Detection System for Plant Stomata Phenotypic Traits, release only, which has been published on IEEE/ACM-TCBB 2021 (CCF-B)
A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, Convolutional Neural Networks (CNN), Auto-Encoders (AE) and Transfer Learning.
A transfer learning based COVID-19 lung x-ray classifier made into a WebApp!
Waste image classification platform to promote sustainability | Created at HackMIT 2022
Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.
It is a autonomous robot equipped with sensors and cameras with deep learning algorithms to monitor and maintain crop health and act as an aid to farmers and huge estate or nursery owners
The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.
A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration
Given an image, detects whether there is a human face or a dog in it. In case it is a dog, the algorithm classifies the breed of the dog. Deep Learning Nanodegree project.
Convolutional Neural Networks capable of classifying Normal vs. Pneumonia frontal chest radiograph (a set of 32 images in 8 seconds) using Transfer Learning with ResNet50
An Azure based computer vision web app
Supervised Contrastive Learning for Diabetic Retinopathy Classification
Facial Recognition and Tracking Application using Deep Learning.
Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.
Constructed an algorithm that works on user supplied image. If a dog is detected, it estimates the breed of the dog, Trained using Transfer learning with CNN.
An end-to-end multi-class image classification system(web app) that classifies 101 classes of food. I'll be implementing the popular CNN architecture while utilizing the full power of transfer learning to extract features and fine-tune layers. I'll also build an interactive UI using react-js and deploy the system.
This repository contains an IPython Notebook detailing the process of classifying X-ray lung images into 4 discrete categories.
Identifying and classifying brain tumors in MRI scans using convolutional neural networks
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