AI based security system!
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Updated
May 7, 2024 - Jupyter Notebook
AI based security system!
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning
🏥 Классификация пневмоторакса
Vehicle speed estimation from video using optical flow models and CNNs
Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.
Collision Avoidance Strategies with Jetracer Pro AI Kit.
It is the image classification task to classify Diabetic-Retinopathy category using ResNet18, ResNet50 pretrained model. which is related to kaggle competition. The kaggle competition link can found below. https://www.kaggle.com/c/diabetic-retinopathy-detection#description
DeepLab v3+ and Floral-Net, a U-Net inspired CNN, for segmenting flowers and backgrounds in the Oxford Flower Dataset, enhancing accuracy through tailored architecture and class imbalance handling.
Helper framework for Medical Image Analysis
Bird Species Classification Using Transfer Learning
Convert Pytorch model to Tensorflow lite model
A Python command line application that trains an image classifier on a given dataset and then using the trained model to predict new images.
First capstone project I worked on as part of the 'Programming in Python for AI' nanodegree at Udacity.
Interactive Deep Learning Project: Classifying Parrots and Forests with ResNet18 and FastAI on Python
Detect if a driver is drowsy or not using a face detector and eye classifiier.
An image classifier that predicts members of the genus Panthera family. Trained using FastAI v2 API and deployed on StreamLit.
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