Sequence

second-loop-pipeline

ID 572bd302-7be6-47b7-b433-d3ceb08cf268

Updated about 2 months ago

Dataset

YOLO zip (data.yaml, train/images, valid/images). Use the upload icon in the card header.

Training

mAP 0.995 · about 2 months ago

Metrics

time: 825.470lr/pg0: 0.000lr/pg1: 0.000lr/pg2: 0.000metrics/mAP50(B): 0.995metrics/mAP50(M): 0.995metrics/recall(B): 0.999metrics/recall(M): 0.999

ONNX imgsz

Extracts best.pt and converts to ONNX via Ultralytics (requires Python + ultralytics on this machine).

Conversion

Core ML package (.mlpackage.zip or .zip). Use the upload icon in the card header.

Export trained model to CoreML for on-device inference.

CoreML imgsz

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