Training Job Failed "ClientError: Mask image is not a 8-bit"

Hello,

I am working on a Semantic Segmentation training job. I have used the Ground Truth semantic segmentation labeling GUI and have labeled about 900 images. Everything with the Ground Truth Labeling job seemed to work just fine. However I noticed the output images in the s3 output path are of type .png.

I am now trying to build a training job using the Pipe - augmented manifest input format. When I kick off the job, after a few minutes I see this error: "ClientError: Mask image is not a 8-bit single channel image. Please check the label image dataset"

I downloaded the output images or "masked images" to photoshop and they do appear to be 8bit "index color".

1. If I used the built in Semantic Segmentation - Ground Truth Labeling job, how would I end up with the incorrect output format?
2. I don't remember specifying or having the option of output image format. Did I miss that somewhere?

Here are a couple line items from the output.manifest file

{"source-ref":"s3://rigbypotato-2/segmentation-validation/MyImage - 20190201122850904.png","potato-features-validation-ref":"s3://rigbypotato-2/segmentation-validation/output/potato-features-validation/annotations/consolidated-annotation/output/0_2020-04-14T02:38:26.487862.png","potato-features-validation-ref-metadata":{"internal-color-map":{"0":{"class-name":"BACKGROUND","hex-color":"#ffffff","confidence":0.79952},"1":{"class-name":"pressure-bruise","hex-color":"#2ca02c","confidence":0.79952},"2":{"class-name":"potato","hex-color":"#1f77b4","confidence":0.79952},"3":{"class-name":"old-bruise","hex-color":"#ff7f0e","confidence":0.79952},"4":{"class-name":"black-skin","hex-color":"#d62728","confidence":0.79952},"5":{"class-name":"green","hex-color":"#9467bd","confidence":0.79952},"6":{"class-name":"scab","hex-color":"#8c564b","confidence":0.79952}},"type":"groundtruth/semantic-segmentation","human-annotated":"yes","creation-date":"2020-04-14T02:38:26.563488","job-name":"labeling-job/potato-features-validation"}}
{"source-ref":"s3://rigbypotato-2/segmentation-validation/MyImage - 20190201122852921.png","potato-features-validation-ref":"s3://rigbypotato-2/segmentation-validation/output/potato-features-validation/annotations/consolidated-annotation/output/1_2020-04-14T02:21:27.433381.png","potato-features-validation-ref-metadata":{"internal-color-map":{"0":{"class-name":"BACKGROUND","hex-color":"#ffffff","confidence":0.82409},"1":{"class-name":"pressure-bruise","hex-color":"#2ca02c","confidence":0.82409},"2":{"class-name":"potato","hex-color":"#1f77b4","confidence":0.82409},"3":{"class-name":"old-bruise","hex-color":"#ff7f0e","confidence":0.82409},"4":{"class-name":"black-skin","hex-color":"#d62728","confidence":0.82409},"5":{"class-name":"green","hex-color":"#9467bd","confidence":0.82409},"6":{"class-name":"scab","hex-color":"#8c564b","confidence":0.82409}},"type":"groundtruth/semantic-segmentation","human-annotated":"yes","creation-date":"2020-04-14T02:21:30.556262","job-name":"labeling-job/potato-features-validation"}}

Thanks

Edited by: tetontech on Apr 16, 2020 7:07 PM