LandingLens | LandingLens on Snowflake |
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Item | Description | Example |
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Image ID | Unique ID assigned to the image. | 30243316 |
Image Name | The file name of the image uploaded to LandingLens. | sample_003.jpg |
Image Path | The URL of where the image is stored. | s3://path/123/abc.jpg |
Model ID | Unique ID assigned to the model. | a3c5e461-0786-4b17-b0a8-9a4bfb8c1460 |
Model Name | The name of the model in LandingLens. | Model-06-04-2024_5 |
GT_Class | The classes you assigned to the image (ground truth or “GT”) . For Object Detection, this also includes the number of objects you labeled. | {"Scratch":3} |
PRED_Class | The classes the model predicted. For Object Detection, this also includes the number of objects predicted. If the model didn’t predict any objects, the value is {"null":1} . | {" Scratch":2} |
Model_Correct | If the model’s prediction matched the original label (ground truth or “GT”), the value is TRUE .If the model’s prediction didn’t match the original label (ground truth or “GT”), the value is FALSE. Only applicable to Classification projects. | TRUE |
PRED_Confidence | The model’s confidence score for its prediction. Only applicable to Classification projects. | 0.9987245 |
GT-PRED JSON | The JSON output comparing the original labels (ground truth or “GT”) to the model’s predictions. For more information, go to JSON Output. | {"gtDefectName":"No Fire","predDefectName":"No Fire","predConfidence":0.9684047} |