RASD Laya track classifier decision model
RASD Laya classifies synthetic sensor-track descriptions into four labels. Its reported test scores cover one simulator, with no real-airspace validation.
By Galal Ban Amr · Selected weights upload: 7 Nov 2026
A Laya fine-tune that labels English descriptions of simulated sensor tracks as drone, bird, aircraft or unknown. It classifies only, with no flight-control or engagement outputs. Training and testing use the same simulator with separate runs; the results say nothing about real sensors or airspace.
Quick answers
What is RASD Laya track classifier by Galal Ban Amr?
RASD Laya track classifier: A Laya fine-tune that labels English descriptions of simulated sensor tracks as drone, bird, aircraft or unknown.
Who makes RASD Laya track classifier?
Are RASD Laya track classifier's weights open?
RASD Laya track classifier: Public weights, question file and Laya loading example Licence: Apache-2.0 model card
Facts
- Base
- convaiinnovations/laya, ModernBERT-large
- Inputs
- English text in the synthetic dataset's fixed track format
- Training
- 10,814 rows, two epochs, soft cross-entropy; run-D selected on validation macro-F1
- Licence
- Apache-2.0 model card
- Access
- Public weights, question file and Laya loading example
Claims and sources
- The maker reports accuracy 0.956, macro-F1 0.903 and 15-bin ECE 0.005 on 23,358 synthetic test rows from held-out simulation runs. The rule baseline scores 0.386 accuracy and abstains as unknown when evidence is thin, which the test counts as wrong for a real object. Fine-tuned unknown-class precision is 0.571. These results measure generalisation within one simulator. vendor reportedsource
Links
Source: Model card and weights → Source: Recorded metrics → Source: Synthetic dataset →
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