Limits in Amazon Rekognition Custom Labels - Rekognition

Limits in Amazon Rekognition Custom Labels

The following is a list of limits in Amazon Rekognition Custom Labels. For information about limits you can change, see AWS Service Limits. To change a limit, see Create Case.

Training

  • Supported file formats are PNG and JPEG image formats.

  • Maximum number of training datasets in a version of a model is 1.

  • Maximum dataset manifest file size is 1 GB.

  • Minimum number of unique labels per Objects, Scenes, and Concepts (classification) dataset is 2.

  • Minimum number of unique labels per Object Location (detection) dataset is 1.

  • Maximum number of unique labels per manifest is 250.

  • Minimum number of images per label is 1.

  • Maximum number of images per Object Location (detection) dataset is 250,000.

  • Maximum number of images per Objects, Scenes, and Concepts (classification) dataset is 500,000. The default is 250,000. To request an increase, see Create Case.

  • Maximum number of labels per image is 50.

  • Minimum number of bounding boxes in an image is 0.

  • Maximum number of bounding boxes in an image is 50.

  • Minimum image dimension of image file in an Amazon S3 bucket is 64 pixels x 64 pixels.

  • Maximum image dimension of image file in an Amazon S3 bucket is 4096 pixels x 4096 pixels.

  • Maximum file size for an image in an Amazon S3 bucket is 15 MB.

  • Maximum image aspect ratio is 20:1.

Testing

  • Maximum number of testing datasets in a version of a model is 1.

  • Maximum dataset manifest file size is 1 GB.

  • Minimum number of unique labels per Objects, Scenes, and Concepts (classification) dataset is 2.

  • Minimum number of unique labels per Object Location (detection) dataset is 1.

  • Maximum number of unique labels per dataset is 250.

  • Minimum number of images per label is 0.

  • Maximum number of images per label is 1000.

  • Maximum number of images per Object Location (detection) dataset is 250,000.

  • Maximum number of images per Objects, Scenes, and Concepts (classification) dataset is 500,000. The default is 250,000. To request an increase, see Create Case.

  • Minimum number of labels per image per manifest is 0.

  • Maximum number of labels per image per manifest is 50.

  • Minimum number of bounding boxes in an image per manifest is 0.

  • Maximum number of bounding boxes in an image per manifest is 50.

  • Minimum image dimension of an image file in an Amazon S3 bucket is 64 pixels x 64 pixels.

  • Maximum image dimension of an image file in an Amazon S3 bucket is 4096 pixels x 4096 pixels.

  • Maximum file size for an image in an Amazon S3 bucket is 15 MB.

  • Supported file formats are PNG and JPEG image formats.

  • Maximum image aspect ratio is 20:1.

Detection

  • Maximum size of images passed as raw bytes is 4 MB.

  • Maximum file size for an image in an Amazon S3 bucket is 15 MB.

  • Minimum image dimension of an image file in an Amazon S3 bucket is 64 pixels x 64 pixels.

  • Maximum image dimension of an image file in an Amazon S3 bucket is 4096 pixels x 4096 pixels.

  • Supported file formats are PNG and JPEG image formats.

  • Maximum image aspect ratio is 20:1.