Deep Learning Object Detection and Segmentation
Deep learning to detect objects from an image.
The code and details are provided in the repository shared
The code applies advanced deep-learning techniques to detect the foreground and background within the source image.
Advanced statistical techniques including entropy loss, focal loss and partial cross-entropy loss implementation can be seen within the documentation.
Heat maps using the Logits and Seaborn are automatically created once you run the code.
The Loss Function
loss function pre-req
loss function mathematics
The Results
Some samples for character detection. The color represents the probability of each pixel being the subject. The brighter the color the higher the probability.
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Posted Jun 7, 2024
Deep learning to detect objects from an input image. All sort of objects can be detected ranging from trees in a Geospatial image to detecting humans from a pic
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