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Training a new classification network which should tell the identity label of an image and also be able to classify: ● Gender as Male/Female ● Wearing Glasses/ Not Wearing Glasses ● Smiling/ Not Smiling ● Wearing hat/ not wearing hat ● young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 heads return my the model. My model performance in Multilabel classification task is totally remarkable.

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custom-cnn multilabel-classification multitask-learning classification-algorithm computer-vision deep-learning machine-learning neural-network opencv pyotrch

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3 classes or more?

Interesting repo! What changes do I need if my tasks had 3 or more classes inside? One task 12 classes and the other 7 class.

Dataset

Can you please share the dataset details as well?

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