This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch
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Updated
Oct 31, 2019 - Jupyter Notebook
This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch
ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU
Handwritten Bangla Numeric Digits Classification using ResNet-34. The work uses a subset of the BanglaLekha-Isolated dataset. For details, read the README file.
Applying Deep Learning Techniques to determine fish feeding Status
A light-hearted production ready image classifier trained using a convolutional neural network with resnet-34 architecture on 150 images returned by Bing Image Search API queries of bears.
Traffic-sign images classification using ResNet-34 CNN
Applying a model with a ResNet34 architecture to classify normal heartbeats from ventricular ectopic heartbeats.
This repo contains my attempt of applying various CV techniques and algorithms
Plant Disease Classification using ResNet
Sorry, This repository has become a tmp. See <MyResNet> Repo. [Jan 19 2024]
Machine Learning Song Classification
A wild edible plant classifier that utilises state-of-the-art CNN architectures.
Employing a fusion of UNet and ResNet architectures, the project endeavors to achieve multiclass semantic segmentation of sandstone images. Through deep learning techniques, it seeks to uncover microstructural features across various geological classifications.
The program recognizes gender by face photo
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