LandingLens | LandingLens on Snowflake |
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# | Item | Description |
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1 | Model | The model name and training method (customized or default). |
2 | Evaluation sets | These columns consist of your evaluation sets, which are sets of images used to evaluate model performance. The model’s Train, Dev, and Test sets display by default. You can add more datasets and run the models on those sets. Shows the F1 score (for Object Detection, Classification, and Anomaly Detection projects) and IoU score (for Segmentation projects). |
3 | Confidence Threshold Anomaly Threshold | For Object Detection and Segmentation projects, the Confidence Threshold displays. For Anomaly Detection projects, the Anomaly Threshold displays. |
4 | Deployment | Deploy the model via Cloud Deployment. If the model has been deployed with Cloud Deployment, an icon for each endpoint displays. |
5 | More Actions | Favorite, deploy, and delete models. Can also copy the Model ID. |
# | Item | Description |
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1 | Percentage | Shows the F1 score (for Object Detection, Classification, and Anomaly Detection projects) and IoU score (for Segmentation projects). Learn more about these scores in Overall Score for the Evaluation Set. |
2 | — | The subset doesn’t have any images. If you don’t assign splits to a dataset before you train a model, LandingLens automatically assigns images to the Train and Dev splits, but not the Test split. Therefore, you will see ”—” for the Test split in that situation. |
3 | Blank | The model hasn’t run on the set yet. To run the model, hover over the cell and click Evaluate. For more information, go here. |