Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.
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Updated
Mar 19, 2024 - Python
Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.
Data Exploration and Visualization of Marine Debris in Singapore
[PT] Este workshop oferece uma breve introdução sobre a detecção de detritos marinhos utilizando dados Level-2A de Sentinel-2. [EN] This workshop gives you a brief introduction on marine debris detection using Sentinel-2 Level-2A data.
This project leverages deep learning to classify marine debris images. It employs TensorFlow and Keras for model training, integrates image augmentation and preprocessing, and assesses model performance using confusion matrix, precision, recall, and F1 score.
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