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Yolo v10

Category: model.detection.2d
Version: 1.0.0
UUID: c4570a699f2cdf595c71a874662e60db726214098f1a79d91495b4e4674a8049
Execution context: leip_af
Choice Priority: 0.8

Subcomponent Parameters

Name Synonyms Allowable Categories
Optimizer optimization.optimizer optimization.optimizer.yolo

Value Parameters

Name Synonyms Type Values
Input Height model.input.height scalar int, min: 1
Input Width model.input.width scalar int, min: 1
Prediction Confidence Threshold post_processor.confidence,
post_processor.confidence_threshold
scalar float, min: 0.0, max: 1.0, step: 0.05
Freeze Backbone model.backbone.freeze scalar bool
Final learning rate optimization.scheduler.final_learning_rate scalar float
Model Architecture model.variation,
model.backbone,
model.architecture
choice yolov10n (Nano)
yolov10s (Small)
yolov10m (Medium)
yolov10b (Medium with increased width)
yolov10l (Large)
yolov10x (Extra Large)
Use Pretrained Backbone model.use_pretrained,
model.backbone.use_pretrained
scalar bool

Constraints

  1. Data for Yolo models should be normalized with 'yolo' (data.normalization == 'yolo')
  2. Export can only be done by using traced model: export \(\in\) export.tracer

This component fits into

Name UUID Synonyms
Full Recipe 4511dd... model