It would be helpful to support a wider variety of data formats for training.
Suggested improvement
Allow users to provide training data in multiple commonly used formats, with automatic detection and parsing where possible.
For example:
Images with metadata/labels
Other commonly used dataset formats
Clear documentation for each supported format and its required structure would also make dataset preparation easier.
The goal is to make the training workflow more flexible by allowing users to use their existing datasets without having to manually convert them into a single specific format.
It would be helpful to support a wider variety of data formats for training.
Suggested improvement
Allow users to provide training data in multiple commonly used formats, with automatic detection and parsing where possible.
For example:
Images with metadata/labels
Other commonly used dataset formats
Clear documentation for each supported format and its required structure would also make dataset preparation easier.
The goal is to make the training workflow more flexible by allowing users to use their existing datasets without having to manually convert them into a single specific format.