The SubT interestingness dataset Tools
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Jun 19, 2020 - Python
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airlab
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Competition in Artificial Neural Networks and Deep Learning course (2024-2025). The task is to develop a multi-class classification model to classify 96x96 RGB images of blood cells into eight classes, each representing a distinct cell state.
python challenge machine-learning computer-vision neural-network tensorflow keras cnn neural-networks classification artificial-neural-networks convolutional-neural-networks polimi cnn-classification airlab blood-cells
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Nov 28, 2024 - Jupyter Notebook
AirLab is a laboratory management tool specialized in antibody-based research.
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Jun 18, 2021 - TypeScript
Competition in Artificial Neural Networks & Deep Learning course (2024-2025). In this assignment we received 64x128 grayscale real images from Mars terrain. Pixels in these images are categorized into five classes, each representing a particular type of terrain. This is a semantic segmentation problem, the goal is to correctly classify the pixels.
python challenge machine-learning computer-vision neural-network tensorflow terrain keras cnn mars segmentation convolutional-neural-networks neural semantic-segmentation polimi airlab
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Dec 20, 2024 - Jupyter Notebook
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