encord_team
encord_team t1_ir511vx wrote
Reply to [D] How do you go about hyperparameter tuning when network takes a long time to train? by twocupv60
Use Bayesian optimisation! Fit a Gaussian process to your model performance as a fn of hyperparams. Run your network on a fraction of your dataset a few times until your GP has a few samples to work on. Search hyperprams by evaluating the GP at different points.
encord_team t1_ir50jb5 wrote
Hi u/RandomForests92 - Exciting project! The onboarding experience is smooth and the UI makes it easy to get started on a simple annotation project.
I would consider adding hotkeys for the different label types/label operations and the option to do object detection and classification in one view.
encord_team t1_ir55n46 wrote
Reply to comment by RandomForests92 in Use YOLOv5 tensorflow.js models to speed up annotation by RandomForests92
I can imagine! Any other side projects that you're working on?
Hotkeys are not a major thing, just a nice productivity enhancer when annotating many images with a more extensive ontology.
Soz, should have been more clear - not to perform both tasks in one frame. More from a UI perspective in the editor, you could add the option to change between them or show both at the same time.