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70 lines
2.6 KiB
Markdown
70 lines
2.6 KiB
Markdown
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---
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title: Viewing Experiments
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---
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While an experiment is running, and any time after it finishes, results are tracked and can be visualized in the ClearML
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Enterprise WebApp (UI).
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In addition to all of **ClearML**'s offerings, ClearML Enterprise keeps track of the Dataviews associated with an
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experiment, which can be viewed and [modified](webapp_exp_modifying.md) in the WebApp.
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## Viewing an experiment's Dataviews
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In an experiment's page, go to the **DATAVIEWS** tab to view all the experiment's Dataview details, including:
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* Input data [selection](#dataset-versions) and [filtering](#filtering)
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* ROI [mapping](#mapping) (label translation)
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* [Label enumeration](#label-enumeration)
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* On-the-fly [data augmentation](#augmentation)
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* [Iteration controls](#iteration-control)
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### Input
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SingleFrames are iterated from the Dataset versions specified in the **INPUT** area, in the **SELECTED DATAVIEW** drop-down
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menu.
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### Filtering
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The **FILTERING** section lists the SingleFrame filters iterated by a Dataview, applied to the experiment data.
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Each frame filter is composed of:
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* A Dataset version to input from
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* ROI Rules for SingleFrames to include and / or exclude certain criteria.
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* Weights for debiasing input data.
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Combinations of frame filters can implement complex querying.
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For more detailed information, see [Filtering](../dataviews.md#filtering).
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### Mapping
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ROI label mapping (label translation) applies to the new model. For example, use ROI label mapping to accomplish the following:
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* Combine several labels under another more generic label.
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* Consolidate disparate datasets containing different names for the ROI.
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* Hide labeled objects from the training process.
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For detailed information, see [Mapping ROI labels](../dataviews.md#mapping-roi-labels).
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### Label enumeration
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Assign label enumeration in the **LABELS ENUMERATION** area.
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### Augmentation
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On-the-fly data augmentation applied to SingleFrames, which does not create new data. Apply data Augmentation in steps,
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where each step is composed of a method, an operation, and a strength.
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For detailed information, see [Data augmentation](../dataviews.md#data-augmentation).
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### Iteration control
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The input data iteration control settings determine the order, number, timing, and reproducibility of the Dataview iterating
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SingleFrames. Depending upon the combination of iteration control settings, all SingleFrames may not be iterated, and some may repeat.
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For detailed information, see [Iteration control](../dataviews.md#iteration-control).
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