Rekognition Custom Labels Max Results

Question

Hi,  
  
The AWS Rekognition Service has a limit of 30 Bounding boxs per Image When use Detect Custom Labels Action?  
I have tried to change the MaxResults parameter to other value (50) but i still getting the Maximum of 30 My custom Labeled detected on every Image that i use. And it's supposed the Rekognition Model detect more than 30 in the images that i'm using. At first i though the model needs more training to detect more my custom label.  
But this happen to every image i use, so i'm starting thinking if this is a Limit.  
I'm using confidence = 1%.  
  
Regards,  
Fábio Santos

Fabio000009 · Answer

Hi,  
  
Thanks for the answer. This 50  it's a hard limit? I want analyze images with more than 50 Labels. It's possible increase this limit or any workaround?  
  
Regards,  
Fábio Santos

AWS-User-1865959 · Answer

Hi Fábio,  
    MaxResults does not control bounding box, please see more details in this page: https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectCustomLabels.html#API_DetectCustomLabels_RequestSyntax  
  
    And the result may have up to 50 bounding boxes.

AWS-Pavan · Answer

Hi Fábio,  
  
- Maximum number of unique labels per manifest is 250. That means, you can train a model that can classify/detect 250 unique labels.  
- Maximum number of labels per image is 50. That means, you can add maximum 50 labels/bounding boxes to your each image.  
  
Please refer this public documentation for more details.  
https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/limits.html

Rekognition Custom Labels Max Results

Relevant content