Based on the information provided in the extracts, Roboflow supports a variety of annotation formats including PASCAL VOC and YOLO Darknet. However, it doesn’t explicitly mention support for rotated bounding boxes or the YOLO OBB format.
When you upload your dataset to Roboflow, it automatically detects the format of your annotations. If you’re experiencing issues with incorrect format detection, it might be best to ensure your annotations are in a format that Roboflow can easily recognize.
If you’re still having trouble, you might find it helpful to watch this tutorial video on how to import images in one format and export them in another using Roboflow. It also covers how to create a new workspace and project, upload images and annotation files, and export the dataset in various formats.
If you’re having issues with a large number of uploads, it might be worth testing the process with a smaller subset of your data first to ensure everything is working as expected before uploading the entire batch.
If the issue persists, it’s recommended to reach out to Roboflow’s support for further assistance.
Sources:
- Forum Post: Specifying Annotation format from Python SDK > Answers Part 1
- Blog > > How to Convert Annotations from PASCAL VOC to YOLO Darknet
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