Closed mb1069 closed 8 months ago
For anyone with the same problem: I ended up using pre-trained weights and an example image. By downsizing the image, I found the model still made the same prediction using pre-trained weights, until the image was so downsized it was no longer recognisable. So, I believe the minimum size is significantly smaller than 128x128 (64x64 still worked).
Hi, I have some very small images from an optical system (15x15 px), and realise I can get a huge performance boost by transfer learning from pretrained weights.
Is the minimum size 128x128? Or can smaller sizes be used?