Ekipa Sara Grebenom.zip -

: Load the model in evaluation mode and pass the images through. Extract the flattened vector from the global average pooling layer (the layer just before the final classification head).

: Use task-specific metrics to ensure the extracted features effectively cluster or classify the "Ekipa Sara" data. Ekipa Sara grebenom.zip

Before feeding data into a deep learning model, standardize the input: : Load the model in evaluation mode and

: Resize all images to the input dimensions required by your chosen model (e.g., for ResNet or for EfficientNet-B4). for ResNet or for EfficientNet-B4).