Edited
Snaq on Eschernode
Estimate food portion size, nutritional value, contents automatically
Use Cases
- People will know the nutritional composition instantly.
- Identify the dish, especially helpful when people are travelling, so that they can know what they are eating. eg. Simply take a picture at a buffet and know what it is.
- Helpful to people following a diet.
First steps.
- The data set we were provided is a 700 pictures each of three different classes. Identify these classes automatically.
- Available Classes:
- Bowl plate
- Regular plate
- Soup plate
Training using Eschernode
- Trained a deep learning classifier on Resnet18 architecture.
- Trained on a 60GB machine for 5 hours.
Results
- Best Cross entropy error of about 0.863 after training for 42 epochs