Q: How many images do I need for my training setup?
A: There is no fixed number of images needed. Generally, more controlled environments where the lighting and background are controlled and the object is always the same size and orientation will need fewer images. In less controlled environments where the objects are partially hidden or differently sized, more training images will be needed.
For reference, the number of files used for training and validation for the cat/dog example is shown below:
Training data: cat 400 images / dog 400 images
Validation data: cat 100 images / dog 100 images
Q: Do I have to annotate images before training a classification model?
A: The classification model does not require annotation.
Q: What if I want to train my model using another cloud platform?
A: Contact LUCID Support.
Q: What else can I do with the Triton Smart? Are there other types of models?
A: Upcoming VM image releases will include other model types including object detection.