![]() ![]() See Create and train a custom model and go to the section on selecting/importing a COCO file-you can follow the guide from there to the end. Once your COCO file is verified, you're ready to import it to your model customization project. Purpose = Purpose.TRAINING # or Purpose.EVALUATIONĬheck_coco_annotation_file(json.loads(coco_file_path.read_text()), annotation_kind, purpose) from cognitive_service_vision_model_customization_python_samples import check_coco_annotation_file, AnnotationKind, PurposeĬoco_file_path = pathlib.Path("")Īnnotation_kind = AnnotationKind.MULTICLASS_CLASSIFICATION # or AnnotationKind.OBJECT_DETECTION You can either enter this code in a Python script, or run the Jupyter Notebook on a compatible platform. Then, run the following python code to check the file's format. First, install the python samples package from the command line: pip install cognitive-service-vision-model-customization-python-samples 1 Aryna Sabalenka by a score of 2-6, 6-3, 6-2 in the 2023 US Open womens final. This notebook demonstrates how to check if the format of your annotation file is correct. Coco Gauff shook off early match struggles to take down upcoming world No.
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