I’m creating a new dataset of 300ish images of a specific weed and flower. When trying to use the auto-label I have three defined classes that show up very well in the test images, but when I run Auto-Label, all of my images are eventually left “unannotated”. I tried adding less classes, more classes, different descriptions for the classes, and less images to annotate, but the auto-label model always finds “zero objects” when running through my images. Any suggestions on how to fix this? I added a screenshot below to show how well the model is picking up the objects I want.
Hello,
I have the exact same issue, did you figure our of to fix it ?
Best regards
No, I even tried to make my own model by manually labeling images, then use that model to label more images. Same issue, zero annotations.
Hi there, I haven’t been able to reproduce this issue with our Auto Label tool. Can you describe a bit more about the error? Does the job complete “successfully” with images marked as null? – this could indicate the confidence levels are too high?
Have you experienced this issue with Grounding Dino, or with a custom trained model? Would you mind sharing a screenshot of what you mean by “unannotated”?
Thank you for your help debugging this issue!
Also to add more info, the confidence levels are typically very low, 10-30%, when Im trying to use this tool. I thought it could be a background confusion issue, so I tried adding in the “grass” class to see if that could fix it, but it provides the same results with or without this class added.
![Screenshot 2024-10-23 144509|690x451](upload://6cf08g7EldLehdM1mQqPOAiFAFH.jpeg
Thank you for the information! We’re investigating this issue and will report back any updates we find!