The Auto-Label service of TAO Data Servcies is designed to reduce the time spent annotating an image dataset. Currently, this service focuses on automatically generating instance segmentation masks given the groundtruth bounding boxes.Data Input for Auto-Label The Auto-Label service expects that the...
use_amp A flag specifying whether to use mixed precision boolean True optim_momentum The momentum of the AdamW optimizer float 0.9 lr The learning rate float 0.0000015 min_lr_rate The minimum learning rate ratio float 0.2 wd The weight decay float 0.0005 warmup_epochs The number of epochs for...
Högre värden tillåter färre etiketter och därmed bättre för användare som bryr sig om precision, men det här alternativet kan leda till fler falska negativa värden.Förbereda dataFör NLP-experiment i automatiserad ML kan du ta med dina data i .csv format för...
The Auto-Label service of TAO Data Servcies is designed to reduce the time spent annotating an image dataset. Currently, this service supports: * automatically generating bounding box annotations given category names or referring expressions. * automatically generating instance segmentation masks given ...
use_amp boolean True A flag specifying whether to use mixed precision optim_momentum float 0.9 The momentum of the AdamW optimizer lr float 0.0000015 The learning rate min_lr_rate float 0.2 The minimum learning rate ratio wd float 0.0005 The weight decay warmup_epochs Unsigned int 1 Th...