This project demonstrates an image recognition model trained using Google Teachable Machine. The model is exported in TensorFlow/Keras format and used in a Python script to classify input images.
This study provides fundamental insights into the mechanisms of visual object categorization in primates through a scalable behavioral framework for assessing category learning and generalization in ...
Abhinav pivoted from a career in banking to pursue his first love in writing. Even while working full-time, he continued contributing as an editor-at-large, a role he has held for more than 7 years. A ...
Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly disproportionately high in low-middle income countries (LMICs) because of the ...
Abstract: Applying Support Vector Machine (SVM) theory to hyperspectral images classification can significantly mitigate the decline in classification performance caused by the curse of dimensionality ...
Abstract: Satellite image classification holds significant importance across various applications, including agriculture, urban planning, and disaster management, due to the necessity for effective ...
This is a fairly simple image classification Python script that I wrote as a project deliverable for my 2014 Machine Learning class at the Polytechnic University of Catalonia (UPC), back when I was ...
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