When executing the command label-studio-converter import yolo -i data -o ls-tasks.json to generate a JSON file for pre-annotated YOLO detection images, the following folder architecture is assumed:
data:
images
labels
classes.txt
The images folder contains 5537 images, and the labels folder contains an equal number of txt files corresponding to annotations. However, the generated JSON file only contains 3948 images. I've confirmed that each image has a corresponding txt file, and they were generated using a trained YOLOv8 model.
Bug Description:
When executing the command label-studio-converter import yolo -i data -o ls-tasks.json to generate a JSON file for pre-annotated YOLO detection images, the following folder architecture is assumed: data:
Environment:
Label Studio latest Docker image