Formats
Sagemaker GroundTruth Manifest
Object Detection
IMPORTEXPORT
FEATURED
Object Detection

Sagemaker GroundTruth Manifest

The proprietary annotation format used by Amazon SageMaker GroundTruth.

Overview

Amazon SageMaker GroundTruth is a popular option for outsourced labeling jobs. They use AI to assist their human annotators in creating high quality data for training computer vision models.

Unfortunately, the format is poorly documented and is not widely used outside the Amazon ecosystem (to learn about Amazon's one-click training tool, see our Rekognition Custom Labels tutorial). If you want to get your images labeled with GroundTruth and use them with your own models you'll need to convert them to a standard format first. That's where Roboflow comes in; our Pro tier can parse manifest files and convert them into any other format.

Since AWS credits can be used for GroundTruth labeling jobs, this can be the most cost-effective way for startups to get their images labeled! Roboflow's Pro tier can even handle the API integration to manage the whole process end to end.

As an added bonus, if you've already labeled your data elsewhere, you can use Roboflow Pro to convert your existing annotations into a manifest file for use with Amazon Rekognition Custom Labels' one-click Object Detection AutoML service.

Format Description

Below, learn the structure of Sagemaker GroundTruth Manifest.

rekognition.manifest
{"source-ref":"s3://roboflow/img001.jpg","roboflow":{"annotations":[{"class_id":1,"width":64,"top":82,"height":72,"left":350},{"class_id":1,"width":52,"top":139,"height":61,"left":242}],"image_size":[{"width":500,"depth":3,"height":333}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.67800","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img002.jpg","roboflow":{"annotations":[{"class_id":1,"width":28,"top":32,"height":33,"left":95},{"class_id":1,"width":27,"top":93,"height":27,"left":149}],"image_size":[{"width":300,"depth":3,"height":220}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.69200","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img003.jpg","roboflow":{"annotations":[{"class_id":1,"width":33,"top":85,"height":43,"left":252},{"class_id":1,"width":38,"top":85,"height":49,"left":208},{"class_id":1,"width":28,"top":97,"height":38,"left":444},{"class_id":1,"width":46,"top":74,"height":58,"left":100},{"class_id":1,"width":51,"top":77,"height":55,"left":329},{"class_id":1,"width":26,"top":122,"height":38,"left":391},{"class_id":1,"width":34,"top":84,"height":44,"left":324},{"class_id":1,"width":15,"top":118,"height":23,"left":3},{"class_id":1,"width":24,"top":113,"height":34,"left":19}],"image_size":[{"width":500,"depth":3,"height":324}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.69400","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img004.jpg","roboflow":{"annotations":[{"class_id":1,"width":105,"top":168,"height":107,"left":128},{"class_id":1,"width":132,"top":475,"height":126,"left":158}],"image_size":[{"width":500,"depth":3,"height":750}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70100","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img005.jpg","roboflow":{"annotations":[{"class_id":1,"width":85,"top":2,"height":85,"left":45},{"class_id":1,"width":72,"top":29,"height":81,"left":324},{"class_id":1,"width":56,"top":56,"height":64,"left":269},{"class_id":1,"width":58,"top":12,"height":70,"left":120},{"class_id":1,"width":29,"top":36,"height":36,"left":31},{"class_id":1,"width":58,"top":15,"height":51,"left":315},{"class_id":1,"width":35,"top":1,"height":112,"left":454}],"image_size":[{"width":490,"depth":3,"height":275}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70600","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img006.jpg","roboflow":{"annotations":[{"class_id":1,"width":57,"top":46,"height":62,"left":43},{"class_id":1,"width":60,"top":51,"height":61,"left":244}],"image_size":[{"width":400,"depth":3,"height":225}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70800","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img007.jpg","roboflow":{"annotations":[{"class_id":0,"width":64,"top":41,"height":67,"left":228}],"image_size":[{"width":401,"depth":3,"height":600}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71000","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img008.jpg","roboflow":{"annotations":[{"class_id":1,"width":116,"top":19,"height":121,"left":64},{"class_id":1,"width":82,"top":75,"height":102,"left":204},{"class_id":1,"width":128,"top":0,"height":138,"left":340}],"image_size":[{"width":500,"depth":3,"height":333}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71200","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img009.jpg","roboflow":{"annotations":[{"class_id":1,"width":72,"top":0,"height":63,"left":95},{"class_id":1,"width":64,"top":45,"height":78,"left":167}],"image_size":[{"width":444,"depth":3,"height":215}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71600","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img010.jpg","roboflow":{"annotations":[{"class_id":1,"width":64,"top":4,"height":84,"left":179},{"class_id":1,"width":36,"top":85,"height":37,"left":40},{"class_id":1,"width":46,"top":64,"height":44,"left":69},{"class_id":1,"width":27,"top":110,"height":34,"left":2}],"image_size":[{"width":480,"depth":3,"height":318}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-

Split and Merge Datasets

With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in Sagemaker GroundTruth Manifest. Read our dedicated guides to learn how to merge and split Sagemaker GroundTruth Manifest detections.

Split detections in Sagemaker GroundTruth Manifest

No items found.

Merge detections in Sagemaker GroundTruth Manifest

No items found.

Supported Models

Below, see model architectures that require data in the Sagemaker GroundTruth Manifest format when training a new model.

On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.

No items found.

On this page

Convert Data from Sagemaker GroundTruth Manifest

Convert to...

Convert Data to Sagemaker GroundTruth Manifest

Convert from...
Formats
Sagemaker GroundTruth Manifest

What is Sagemaker GroundTruth Manifest?

Amazon SageMaker GroundTruth is a popular option for outsourced labeling jobs. They use AI to assist their human annotators in creating high quality data for training computer vision models.

Unfortunately, the format is poorly documented and is not widely used outside the Amazon ecosystem (to learn about Amazon's one-click training tool, see our Rekognition Custom Labels tutorial). If you want to get your images labeled with GroundTruth and use them with your own models you'll need to convert them to a standard format first. That's where Roboflow comes in; our Pro tier can parse manifest files and convert them into any other format.

Since AWS credits can be used for GroundTruth labeling jobs, this can be the most cost-effective way for startups to get their images labeled! Roboflow's Pro tier can even handle the API integration to manage the whole process end to end.

As an added bonus, if you've already labeled your data elsewhere, you can use Roboflow Pro to convert your existing annotations into a manifest file for use with Amazon Rekognition Custom Labels' one-click Object Detection AutoML service.

Deploy Models with Ease on Roboflow

With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.

Get Started Today

Sagemaker GroundTruth Manifest

Below, we show how to convert data to and from

Sagemaker GroundTruth Manifest

. We also list popular models that use the

Sagemaker GroundTruth Manifest

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to Sagemaker GroundTruth Manifest

Use Roboflow to convert
Sagemaker GroundTruth Manifest
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:
‍

Free data conversion

SOC II Type 2 Compliant

Trusted by 250,000+ developers

Sagemaker GroundTruth Manifest
 to 
YOLOv8 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
YOLOv8 Oriented Bounding Boxes
Sagemaker GroundTruth Manifest
 to 
PaliGemma JSONL
Sagemaker GroundTruth Manifest
 to 
YOLOv10 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
YOLOv9 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
Florence-2
Sagemaker GroundTruth Manifest
 to 
YOLOv11 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
OpenAI GPT-4o Object Detection JSONL
Sagemaker GroundTruth Manifest
 to 
COCO Run-Length Encoding (RLE)
Sagemaker GroundTruth Manifest
 to 
Pascal VOC XML
Sagemaker GroundTruth Manifest
 to 
Tensorflow TFRecord
Sagemaker GroundTruth Manifest
 to 
COCO JSON
Sagemaker GroundTruth Manifest
 to 
YOLO Darknet TXT
Sagemaker GroundTruth Manifest
 to 
CreateML JSON
Sagemaker GroundTruth Manifest
 to 
YOLOv7 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
YOLOv5 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
Google Cloud AutoML Vision CSV
Sagemaker GroundTruth Manifest
 to 
meituan/yolov6
Sagemaker GroundTruth Manifest
 to 
Scaled-YOLOv4 TXT
Sagemaker GroundTruth Manifest
 to 
YOLO Keras TXT
Sagemaker GroundTruth Manifest
 to 
OpenAI CLIP Classification
Sagemaker GroundTruth Manifest
 to 
RetinaNet Keras CSV
Sagemaker GroundTruth Manifest
 to 
Tensorflow Object Detection CSV
Sagemaker GroundTruth Manifest
 to 
Multiclass Classification CSV
Sagemaker GroundTruth Manifest
 to 
YOLOv4 PyTorch TXT
Sagemaker GroundTruth Manifest
 to 
YOLOv5 Oriented Bounding Boxes

Convert Data from Sagemaker GroundTruth Manifest

Use Roboflow to convert the following formats to
Sagemaker GroundTruth Manifest
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:
‍

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

YOLOv8 PyTorch TXT
to
Sagemaker GroundTruth Manifest
COCO JSON
to
Sagemaker GroundTruth Manifest
Pascal VOC XML
to
Sagemaker GroundTruth Manifest
YOLO Darknet TXT
to
Sagemaker GroundTruth Manifest
CreateML JSON
to
Sagemaker GroundTruth Manifest
SuperAnnotate JSON
to
Sagemaker GroundTruth Manifest
Google Cloud AutoML Vision CSV
to
Sagemaker GroundTruth Manifest
LabelMe JSON
to
Sagemaker GroundTruth Manifest
Scale AI JSON
to
Sagemaker GroundTruth Manifest
LabelBox JSON
to
Sagemaker GroundTruth Manifest
Supervisely JSON
to
Sagemaker GroundTruth Manifest
VGG Image Annotator JSON
to
Sagemaker GroundTruth Manifest
VGG Image Annotator CSV
to
Sagemaker GroundTruth Manifest
VoTT CSV
to
Sagemaker GroundTruth Manifest
VoTT JSON
to
Sagemaker GroundTruth Manifest
LabelBox Video JSON
to
Sagemaker GroundTruth Manifest
IBM Cloud Annotations JSON
to
Sagemaker GroundTruth Manifest
Unity Perception JSON
to
Sagemaker GroundTruth Manifest
YOLO Keras TXT
to
Sagemaker GroundTruth Manifest
OIDv4 TXT
to
Sagemaker GroundTruth Manifest
RetinaNet Keras CSV
to
Sagemaker GroundTruth Manifest
OpenImages CSV
to
Sagemaker GroundTruth Manifest
Tensorflow Object Detection CSV
to
Sagemaker GroundTruth Manifest
Multiclass Classification CSV
to
Sagemaker GroundTruth Manifest
Cogniac
to
Sagemaker GroundTruth Manifest
Kaggle Wheat CSV
to
Sagemaker GroundTruth Manifest
Marmot XML
to
Sagemaker GroundTruth Manifest
Udacity TXT
to
Sagemaker GroundTruth Manifest
Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
Sagemaker GroundTruth Manifest
data format
.

What computer vision models use Sagemaker GroundTruth Manifest?

The

No items found.

models all use the

Sagemaker GroundTruth Manifest

data format.

We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.
rekognition.manifest
{"source-ref":"s3://roboflow/img001.jpg","roboflow":{"annotations":[{"class_id":1,"width":64,"top":82,"height":72,"left":350},{"class_id":1,"width":52,"top":139,"height":61,"left":242}],"image_size":[{"width":500,"depth":3,"height":333}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.67800","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img002.jpg","roboflow":{"annotations":[{"class_id":1,"width":28,"top":32,"height":33,"left":95},{"class_id":1,"width":27,"top":93,"height":27,"left":149}],"image_size":[{"width":300,"depth":3,"height":220}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.69200","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img003.jpg","roboflow":{"annotations":[{"class_id":1,"width":33,"top":85,"height":43,"left":252},{"class_id":1,"width":38,"top":85,"height":49,"left":208},{"class_id":1,"width":28,"top":97,"height":38,"left":444},{"class_id":1,"width":46,"top":74,"height":58,"left":100},{"class_id":1,"width":51,"top":77,"height":55,"left":329},{"class_id":1,"width":26,"top":122,"height":38,"left":391},{"class_id":1,"width":34,"top":84,"height":44,"left":324},{"class_id":1,"width":15,"top":118,"height":23,"left":3},{"class_id":1,"width":24,"top":113,"height":34,"left":19}],"image_size":[{"width":500,"depth":3,"height":324}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.69400","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img004.jpg","roboflow":{"annotations":[{"class_id":1,"width":105,"top":168,"height":107,"left":128},{"class_id":1,"width":132,"top":475,"height":126,"left":158}],"image_size":[{"width":500,"depth":3,"height":750}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70100","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img005.jpg","roboflow":{"annotations":[{"class_id":1,"width":85,"top":2,"height":85,"left":45},{"class_id":1,"width":72,"top":29,"height":81,"left":324},{"class_id":1,"width":56,"top":56,"height":64,"left":269},{"class_id":1,"width":58,"top":12,"height":70,"left":120},{"class_id":1,"width":29,"top":36,"height":36,"left":31},{"class_id":1,"width":58,"top":15,"height":51,"left":315},{"class_id":1,"width":35,"top":1,"height":112,"left":454}],"image_size":[{"width":490,"depth":3,"height":275}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70600","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img006.jpg","roboflow":{"annotations":[{"class_id":1,"width":57,"top":46,"height":62,"left":43},{"class_id":1,"width":60,"top":51,"height":61,"left":244}],"image_size":[{"width":400,"depth":3,"height":225}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.70800","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img007.jpg","roboflow":{"annotations":[{"class_id":0,"width":64,"top":41,"height":67,"left":228}],"image_size":[{"width":401,"depth":3,"height":600}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71000","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img008.jpg","roboflow":{"annotations":[{"class_id":1,"width":116,"top":19,"height":121,"left":64},{"class_id":1,"width":82,"top":75,"height":102,"left":204},{"class_id":1,"width":128,"top":0,"height":138,"left":340}],"image_size":[{"width":500,"depth":3,"height":333}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71200","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img009.jpg","roboflow":{"annotations":[{"class_id":1,"width":72,"top":0,"height":63,"left":95},{"class_id":1,"width":64,"top":45,"height":78,"left":167}],"image_size":[{"width":444,"depth":3,"height":215}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-map":{"0":"helmet","1":"helmet"},"human-annotated":"yes","objects":[{"confidence":0.09},{"confidence":0.09}],"creation-date":"2020-07-20T18:45:18.71600","type":"groundtruth/object-detection"}}
{"source-ref":"s3://roboflow/img010.jpg","roboflow":{"annotations":[{"class_id":1,"width":64,"top":4,"height":84,"left":179},{"class_id":1,"width":36,"top":85,"height":37,"left":40},{"class_id":1,"width":46,"top":64,"height":44,"left":69},{"class_id":1,"width":27,"top":110,"height":34,"left":2}],"image_size":[{"width":480,"depth":3,"height":318}]},"roboflow-metadata":{"job-name":"labeling-job/roboflow","class-
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