Pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed.
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Updated
Dec 10, 2017 - HTML
Pipeline to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed.
Image classification using CNN and transfer learning from pre-trained models for better performance.
Skin cancer classification using Transfer Learning and explainable AI
This endeavor of ours aims to leverage the potential of computer vision and deep learning to classify trees.
Special Problem Project
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
Using Transfer Learning on base URL classification models to meet the differing needs of various organizations.
Classifying Pistols, Revolvers and Rifles using Transfer Learning
Solution submitted on behalf of team Lisa for the A14GOOD competition organised by AI Commons, moderated by Superfluid Labs, Ghana
created using transfer learning
Fashion Recommender : Powered by Transfer Learning
Implementation of a machine learning model to predict COVID-19 Informative Text.
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Transfer Learning on my butterfly images using PyTorch
Trained a CNN model to classify cactus species (columnar cactus) in a binary classification challenge, hosted on Kaggle competition. Refined the model with image augmentation, pre-trained VGG16 model parameters using transfer learning, and improved the identification metric (area under ROC score) from 0.9964 to 0.9971 on the test set.
Apply deep learning to detect and classify cracks. Prior to tensorflow framework and developed a GUI for deployment purposes.
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