The model takes as input an image created by averaging two random samples from CIFAR-10 and is tasked with predicting the categories of the two components.
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Updated
Feb 26, 2025 - Jupyter Notebook
The model takes as input an image created by averaging two random samples from CIFAR-10 and is tasked with predicting the categories of the two components.
Performing detection and instance segmentation of galaxies in images of overlapping galaxy pairs
Machine Learning projects for the competitive AI course. Both are on mixed images separation, one is about classification, the other is instead about reconstruction.
A multi-task PyTorch autoencoder that separates and reconstructs CIFAR-10 and MNIST images from a single, synthetically combined input image.
splits an image into RGBA/RGB channels
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