To preform image classification on Rice Leaf Disease images using CNN via various methods.
-
Updated
Jul 4, 2024 - Jupyter Notebook
To preform image classification on Rice Leaf Disease images using CNN via various methods.
A custom lightweight neural network that incorporates a Bag Of Visual Words model alongside a custom shallow CNN to estimate the apparent age of a face.
Cell clustering of tissue images using handcrafted intensity-based and textural features.
We propose a novel targeted adversarial attack for multiple well-known handcrafted pipelines and datasets. Our attack is able to match an image with any given target image which can be completely different from the original image. Our approach provides a trade-off between effectiveness and imperceptibility, and outperforms the baselines on both …
Implementing an effective combination of data preprocessing and handcrafted features along with Multinomial Naive Bayes classifier for Irony Detection in English Tweets
Implementation of a machine learning model to predict COVID-19 Informative Text.
Teste de Visão Computacional/Processamento de Imagens - Pixeon
Repository for my Master's thesis on the unsupervised early detection of fake news articles
Noise adding techniques in order to deceive the state of the art handcrafted features.
🌲🧮 Eucalyptus counting using artisanal methods and computer vision.
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.
Add a description, image, and links to the handcrafted-features topic page so that developers can more easily learn about it.
To associate your repository with the handcrafted-features topic, visit your repo's landing page and select "manage topics."