Input Data Quotas - Amazon SageMaker

Input Data Quotas

Input datasets used in semantic segmentation labeling jobs have a quota of 20,000 items. For all other labeling job types, the dataset size quota is 100,000 items. To request an increase to the quota for labeling jobs other than semantic segmentation jobs, review the procedures in AWS Service Quotas to request a quota increase.

Input image data for active and non-active learning labeling jobs must not exceed size and resolution quotas. Active learning refers to labeling job that use automated data labeling. Non-active learning refers to labeling jobs that don't use automated data labeling.

Input File Size Quota

Input files can't exceed the following size- quotas for both active and non-active learning labeling jobs.

Labeling Job Input File Quotas
Image classification 40 MB
Object detection (bounding box) 40 MB
Semantic segmentation 40 MB
Image classification label adjustment 40 MB
Object detection label adjustment 40 MB
Semantic segmentation label adjustment 40 MB
Image classification label verification 40 MB
Object detection label verification 40 MB
Semantic segmentation label verification 40 MB

Input Image Resolution Quotas

Image file resolution refers to the number of pixels in an image, and determines the amount of detail an image holds. Image resolution quotas differ depending on the labeling job type and the Amazon SageMaker built-in algorithm used. The following table lists the resolution quotas for images used in active and non-active learning labeling jobs.

Labeling Job Resolution Quota - Non Active Learning Resolution Quota - Active Learning
Image classification 100 million pixels 3840 x 2160 pixels (4 K)
Object detection (bounding box) 100 million pixels 3840 x 2160 pixels (4 K)
Semantic segmentation 100 million pixels 1920 x 1080 pixels (1080 p)
Image classification label adjustment 100 million pixels 3840 x 2160 pixels (4 K)
Object detection label adjustment 100 million pixels 3840 x 2160 pixels (4 K)
Semantic segmentation label adjustment 100 million pixels 1920 x 1080 pixels (1080 p)
Image classification label verification 100 million pixels Not available
Object detection label verification 100 million pixels Not available
Semantic segmentation label verification 100 million pixels Not available

3D Point Cloud and Video Frame Labeling Job Quotas

The following quotas apply for 3D point cloud and video frame labeling jobs.

Labeling Job Quota
Video frame object detection 2,000 video frames (images) per sequence
Video frame object detection 10 video frame sequences per manifest file
Video frame object tracking 2,000 video frames (images) per sequence
Video frame object tracking 10 video frame sequences per manifest file
3D point cloud object detection 100,000 point cloud frames per labeling job
3D point cloud object tracking 100,000 point cloud frame sequences per labeling job
3D point cloud object tracking 500 point cloud frames in each sequence file