Hi'
im' trying to setup a training dataset for object localization using the manifest method. Im' getting the following error:
401: The S3 input manifest file s3://custom-labels-console-us-east-1-833b01ea2f/datasets/TestTrainingSet/manifests/output/output.manifest does not have the correct JSON format.
I couldn't figure out what's wrong with the json, was hoping somebody could help me resolving the issue.
Following is the json for one of image files.
{"source-ref": "s3://custom-labels-console-us-east-1-833b01ea2f/DentalCEPH/TrainingData/001.png", "bounding-box": {"image_size": [{"width": 1935, "height": 2400, "depth": 3}], "annotations": [{"class_id": 0, "top": 929, "left": 768, "width": 128, "height": 128}, {"class_id": 1, "top": 968, "left": 1405, "width": 128, "height": 128}]}, "bounding-box-metadata": {"objects": [{"confidence": 1}, {"confidence": 1}], "class-map": {"0": "sella turcica", "1": "nasion", "2": "orbitale", "3": "porion", "4": "subspinale", "5": "supramentale", "6": "pogonion", "7": "menton", "8": "gnathion", "9": "gonion", "10": "lower incisal incision", "11": "upper incisal incision", "12": "upper lip", "13": "lower lip", "14": "subnasale", "15": "soft tissue pogonion", "16": "posterior nasal spine", "17": "anterior nasal spine", "18": "articulate"}, "type": "groundtruth/object-detection", "human-annotated": "yes", "creation-date": "2020-11-18T02:53:27", "job-name": "custom labels"}}
Thank you,
V.Vamsi Krishna
Edited by: vkrishna on Mar 7, 2021 3:53 AM
