When running the Auto labeling command with a CoreML model, a spinner appears and never stops, and no auto labels show up

[hqm]

When running the Auto labeling command with a CoreML model, a spinner appears and never stops, and no auto labels show up

[hqm]

this works now to find bounding boxes with auto label

[hqm]

You can see the spinner faintly in middle of screen image

[ryouchinsa]

Thanks for writing the issue.

We fixed so that loading Core ML models and processing the image works correctly. Including Core ML models trained on Create ML.

The new version 2023.02.20 was released.
Could you tell us whether the problem was fixed in the latest vesion?

[hqm]

Is there a way to use a semantic segmentation model with auto label? So that it suggests a polygon mask rather than just a bounding box?

[ryouchinsa]

Please read this page.
https://rectlabel.com/help#load_coreml

You can use YOLOv5, YOLOv8, IS-Net, and DeepLabV3 to auto label as polygons.
When you are using the YOLO text format, the segmentation model auto label as polygons.
When you are using the PASCAL VOC xml format, the segmentation model auto label as pixels.

[hqm]

Thank you, do you happen to know of any documentation that would tell us how to train a CoreML instance segmentation model of the type you mentioned? The XCode tool we were using only seemed to train an object detection model that returned bounding boxes.

[ryouchinsa]

How about training the YOLOv8 segmentation model on your macOS device?
https://github.com/ultralytics/ultralytics

pip install ultralytics
yolo segment train data=coco128-seg.yaml model=yolov8n-seg.pt epochs=100 imgsz=640
yolo segment export model=best.pt format=coreml

[ryouchinsa]

Currently If you need our support to fix this problem, please let us know.