How to load annotation from local computer in Amazon rekognition custom label service
I am creating object detection model using Amazon rekognition custom label service. I have already uploaded the image data in s3 and attached it to rekognition project. In Label part, I can select only 9 Images at a time After saving the annotation it takes me to 1st page from there I have to go to 30 or 40 page wherever I last saved the annotation. Doing annotation on that tools is very time consuming.
So can we use the locally annotated images in amazon rekognition service ? Is there any way to upload the json file of the annotation and we can directly train the model.
Any help will be appreciated.
Thank you Viraj Hapaliya
You can upload the label as a SageMaker Ground Truth format manifest file. It's a JSON lines format and you can find some example here: https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/md-create-manifest-file.html . You might have to transform the format if you local annotation tool generates a different format.
Once you have the manifest file you can import it using the Console or SDK, see https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/understanding-custom-labels.html#tm-create-model
I was able to load my local annotation into sagemaker by making changes in the json. But How do I download the manifest file of the annotation which I have done in amazon rekognition custom labels.
I have checked my S3 bucket but I am not to find output.menifest in that.
And One more question I have already added the sagemaker image files in amazon rekognition service. Now I want to update manifest file in rekognition service.
Hi Viraj, You could export the JSON Lines information of your dataset using this API: https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/md-listing-dataset-entries-sdk.html I don't see a easy way to update the manifest file in-place. But I believe you can upload a new manifest file to a S3 bucket, keeping all the images untouched, and then delete and recreate the dataset in Rekognition using the new manifest file.
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