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Viewing Datasets

Whether you want to review individual items in your dataset or the statistical distributions within it, Innotescus provides several ways to maintain full visibility into they data you're working with.

Viewing Dataset Content + Annotations

Dataset Details Page

The dataset details page lists all the items in a dataset, either with (Project -> Task -> Dataset) or without (Project -> Dataset) the context of a task assigned to it. Access the dataset details page to search and filter or simply view the images or videos in a dataset. Below shows an example of a task-specific dataset details page:

Dataset Details

The Media Viewer

View an image or video in a dataset by clicking on it in the dataset details page. The media viewer allows users to see each piece of data along with any annotations created for it using the task selector in the upper right. View annotation and image metadata, as well as a complete history of annotations on that image using the different panels on the right side of the image viewer.

Use the available controls to zoom, pan, edit in the canvas, or download the annotations. View the history of image annotations using the history icon on the right hand panel.

Image Viewer

Dataset Item Views

Using the available icons, users can select the list (default), details, or gallery view of a dataset. Each view shows different high level information of each dataset item, and the list and details view are sortable by any column.

Dataset Details Views

Viewing Dataset Statistics

To view dataset metrics, select one or more datasets and click one of the available dataset analytics icons. You can toggle between different metrics and views, and analyze different combinations of datasets by hitting the refresh icon after selecting or deselecting a dataset. Use the available icons to print, view in fullscreen, or download a screenshot or .csv containing the raw data.

These same analytics are available from the dataset details page to view these metrics for a subset of images within a particular dataset.

Color Metrics

Color metrics are calculated using the pixel values for each channel - typically red, green, and blue - or all three, in the case of grey values. The various graphs - scatter plots, histograms, and candlestick plots - show the color distribution of the selected dataset(s) in different ways, in order to highlight outliers and common values. Click an individual data point or bar to view the specific images with those values.

Quality Metrics

Innotescus provides a quality metric, BRISQUE - Blind/Referenceless Blind/Referenceless Image Spatial Quality Evaluator, to view the quality distribution of images in a dataset. Users can view the distribution of this metric as a candlestick plot or bar chart, and explore the images in each bin by clicking on a bar in the histogram.

Complexity Metrics

Innotescus provides a complexity metric, entropy, to show the distribution of complexity within a dataset. The entropy calculation encompasses things like varying textures or noise within an image, and is used to inform decisions about the complexity of the network architecture being used. View this distribution as a histogram or candlestick plot, and click on the bars of the histogram to view the images in a certain bin.


Use dive to create a custom view of your dataset items with the metrics available above. Use the binning and scatter fields to create different views, or combine them to visualize across four dimensions of data.

Access task-specific image metadata in your dive visualization by accessing the dive analytics within a task's datasets tab.

Dive Analytics

Dive-Specific Metrics

Dive contains a few metrics that are not included in the color, quality, or complexity charts - brightness, lightness, hue, and saturation. To learn more about these standard image metrics, see this article.