Detectron error about aerial_wildlife_detection HOT 2 OPEN

I am also receiving this error. I've imported about 600 images and labeled about 150 of them with bounding boxes.

from aerial_wildlife_detection.

Hi! Thanks for raising the issue.
This line:

[2022-09-21 13:38:41,804: WARNING/ForkPoolWorker-31] WARNING: encountered unknown label classes: e75a562b-39ce-11ed-a5c4-d7f10ba73e16, e75a562a-39ce-11ed-a5c4-d7f10ba73e16, 3a0ec21b-39d0-11ed-a5c4-d7f10ba73e16, e75a562c-39ce-11ed-a5c4-d7f10ba73e16, e75a562d-39ce-11ed-a5c4-d7f10ba73e16

Indicates that the model has not been adapted to work with the label classes.
When you open the Model Marketplace and add a model to the project, you will eventually see a window that allows you to establish a mapping between the classes the model has been trained on and the ones you created in your annotation project. Here's an example with the MS-COCO classes (left list) and two classes ("Human", "Vehicle") in the project:

Any training images whose annotated label classes have not been mapped to the model's will be discarded during training. In your case this resulted in an empty list of images, hence the error.

You can do this step again as follows:

1. Go to the project configuration page > "AI model" > "Settings" (URL: <project>/configuration/aimodel)
2. You should see a table with all model states in the project. Tick them all, then click "Delete selected". Wait until confirmation message appears.
3. Go to the Model Marketplace (URL: <project>/configuration/modelmarketplace), re-select the model of choice, click "Add to Project". Wait until done; that pop-up in the image above should appear. Assign project-to-model classes with the drop-down menus, then click "Save".
4. Retry training (e.g., via the Workflow Designer)

I hope this helps! Otherwise let me know and we can try and debug it further.

from aerial_wildlife_detection.