An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
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Updated
Jun 2, 2024 - Python
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
A GUI-wrapped app to remove background from pictures, powered by the DeepLabV3 model
Artificial Intelligence > Machine Learning > Deep Learning
This repository contains simple and fundamental Projects in Computer vision
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🤖 DeepCaptcha Solver 🚀 | A cutting-edge deep learning model for solving CAPTCHA images with high accuracy using CNNs and Keras. 🌟
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Set of CUDA accelerated medical segmentation metrics.
SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark
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This repository contains a collection of machine learning examples implemented in Jupyter Notebooks. Each notebook demonstrates a different machine learning technique or algorithm, along with explanations and code examples.
Open Source Computer Vision Library
Your pocket scanner: effortless A4 document capture and transformation into a clean PDF
Brain tumors segmentation on 3D MRI images. The model has been trained on BratTS20 and BraTS21 datasets, and now working with BraTS23.
Open-source simulator for autonomous driving research.
My 2024 Thesis. Developing an occlusion-aware engagement detection system.
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Bachelor-Thesis
This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks
Pixel Based Car Height Detection with YoloV5 and Mask-RCNN