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Álvaro García Vásquez's Projects

animal_image_classification icon animal_image_classification

An animal classification system developed using transfer learning with the ResNet50 convolutional neural network pre-trained on ImageNet. Designed to distinguish between three classes of animals—cats, dogs, and snakes—the system demonstrates a high accuracy of approximately 98.67% on a balanced dataset comprising 3,000 images.

people_detection icon people_detection

People detection with a neural network to detect people in urban environments using custom-extracted image features. The NN is trained on a dataset consisting of images categorized into scenes with people and without people but with animals. The dataset used was created by generative AI.

satellite_image_classification icon satellite_image_classification

Satellite image classification using a custom Convolutional Neural Network (CNN). The model is designed to classify images from the EuroSAT dataset into ten distinct classes.

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