metadata
pipeline_tag: image-classification
Model Card: Fine-Tuned InceptionV3, Xception, & ResNet50 for Human Decomposition Image Classification
These CNN models were developed for the classification of human decomposition images into six stages of human decay defined by Gelderman et al. (2018).
Model Details
Model Description
- Developed by: Anna-Maria Nau
- Funded by: National Institute of Justice
- Model type: CNNs for Image Classification
- Base Model: InceptionV3, Xception, and ResNet50 pretrained on ImageNet
- Transfer Learning Method: Two-step transfer learning: (1) freeze all pre-trained convolutional layers of the base model and train newly added classifier layers on custom dataset and (2) unfreeze all layers, and fine-tune model end-to-end on custom dataset.