README.md

metadata

license: mit
tags:
  - computer-vision
  - microscopy
  - materials-science
  - encoder
  - segmentation
  - pytorch
  - pretrained
library_name: pretrained-microscopy-models

Pretrained Microscopy Encoder - resnet101 (imagenet-micronet)

This is a resnet101 encoder pretrained on imagenet-micronet microscopy datasets, prepared for use with segmentation_models.pytorch.

Models originally pretrained for pretrained-microscopy-models

Model Details

• Architecture: resnet101
• Pretrained on: imagenet-micronet
• Input shape: RGB images
• Framework: PyTorch
• Use case: Feature extraction, segmentation backbone

Files

• encoder_weights.pth - PyTorch state_dict() of the encoder
• README.md - This model card
• encoder.py - Sample code to use the encoder within UNet.

License

mit