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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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imannotateImage annotation tool to make Machine Learning or others stuffs
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ImageatmImage classification for everyone.
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ImgclsmobSandbox for training deep learning networks
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SCL📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
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GroupimgA script in python to organize your images by similarity.
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mybabeMyBB CAPTCHA Solver using Convolutional Neural Network in Keras
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UniFormer[ICLR2022] official implementation of UniFormer
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aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
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