ATSVisionTrainer Help Center

This manual reflects the current UI and parameter adapters, covering four modern architectures, two classic architectures and anomaly detection. Choose the task page first, then prepare a matching dataset; configurations from different architectures are not interchangeable.

What you want to do Read more
First training run Quick start
Prepare detection, classification or oriented-box data Dataset preparation
Locate objects with boxes Modern detection, classic detection 2.7.0
Classify a whole image Modern classification, classic classification 2.5.0
Output each object's pixel region Instance segmentation
Output oriented object boxes Oriented detection
Detect anomalies using only OK images Anomaly detection
Review training results or free disk space Training history
Check every parameter's default, range and meaning Parameter reference

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About defaults

Defaults in this manual are the current initial UI values, not assumed values for every model YAML. When a classic architecture uses its configuration, the final training values come from the selected model configuration. Use each experiment's effective configuration and raw log to verify actual behavior.