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add image data labeling output manifest
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Gracechung-sw committed Jun 30, 2024
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3 changes: 3 additions & 0 deletions aws-sagemaker/1.data_labeling_feature_engineering/datawrangler_data/README.md
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## Reference

https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-datawrangler
10 changes: 10 additions & 0 deletions aws-sagemaker/1.data_labeling_feature_engineering/labeling_data/output.manifest
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{"source-ref":"s3://hjchung-data-labeling/labeling_images/bike_005.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":0,"top":4,"left":495,"height":355,"width":143}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"0":"bike"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:44:22.614877","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/bike_019.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":0,"top":141,"left":256,"height":181,"width":267}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"0":"bike"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:44:22.612681","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/bike_024.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":0,"top":213,"left":20,"height":236,"width":266}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"0":"bike"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:45:27.482597","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/carsgraz_003.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":2,"top":88,"left":352,"height":121,"width":275}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"2":"car"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:44:22.613432","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/carsgraz_011.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":2,"top":141,"left":0,"height":87,"width":137}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"2":"car"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:45:27.481853","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/carsgraz_030.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":640,"height":480,"depth":3}],"annotations":[{"class_id":2,"top":60,"left":381,"height":310,"width":259}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"2":"car"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:44:22.615622","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/horse-100.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":240,"height":200,"depth":3}],"annotations":[{"class_id":1,"top":55,"left":112,"height":123,"width":128}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"1":"horse"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:54:42.450414","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/horse-106.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":284,"height":177,"depth":3}],"annotations":[{"class_id":1,"top":23,"left":121,"height":141,"width":157}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"1":"horse"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:54:42.451175","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}
{"source-ref":"s3://hjchung-data-labeling/labeling_images/horse-109.jpg","sagemaker-labeling-toolkit-practice":{"image_size":[{"width":296,"height":170,"depth":3}],"annotations":[{"class_id":1,"top":7,"left":15,"height":156,"width":193}]},"sagemaker-labeling-toolkit-practice-metadata":{"objects":[{"confidence":0}],"class-map":{"1":"horse"},"type":"groundtruth/object-detection","human-annotated":"yes","creation-date":"2024-06-30T02:44:22.614153","job-name":"labeling-job/sagemaker-labeling-toolkit-practice"}}

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MODEL METRICS

Training variance explained: 33.0%
Test variance explained: 32.0%

Data viz

feature_importance
residuals

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