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1. Click the Add Batch button in the top-right corner of the Datasets tab. The Add Batch modal appears.
   

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2. Enter the name of the batch in the Batch Name field.

3. Click to select the Priority of the batch (optional). The higher the priority value of a batch, the earlier it gets routed to labelers for processing.

4. Enter a Message that you want to appear when labelers start work on this batch (optional).

5. Enter the Email ID that must be notified when the tasks are imported and when work on the batch is completed (optional).

6. Click the ETA field and select the date by which work on this batch must be completed (optional). This will be saved as the target date of this batch.

7. Click to specify whether this batch is a Golden Batch (optional).

8. Click Submit to add the dataset batch to the project.

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1. Click the (ellipsis) icon in the top-right corner of the Datasets table and select Export Project Output. The Export Project Output modal appears.
   

   

2. Click the radio button corresponding to the format in which you want to download the output.

3. Enter the Start Date from which you want to download the output. This setting instructs Taskmonk to download all the output created from the start date that you specify. I would recommend that Start Date be optional. If no start date is chosen, the application must export all the data created from the start of the project. Also, I am able to select a date even two years in the past; but the project is only a few days old. I would recommend we add this validation here.

4. Enter the End Date for output download. This instructs Taskmonk to download all the output created up to the end date that you specify. I would recommend that End Date be optional. If no end date is chosen, the application must export all the data created up to the current date.

5. Click to Select Fields to Download or select the Select all check box to download the data associated with all the fields in your project. Can we add this label to the field. Currently, we have no label there.

6. Click Download to trigger the export. Once the export completes, the modal notifies you and offers a link to download the exported content.

7. Click Download File to download the exported output.

8. Click Close to return to the Dataset tab.

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1. Click the (ellipsis) icon in the top-right corner of the Datasets table and select Configure Cloud Storage. The Cloud Storage Configuration modal appears.
   

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   The Cloud Storage Configuration modal enables you to configure the connection details that are required for you to connect with specific Cloud service providers. Taskmonk enables you to store your projects with the following service providers:

   • Amazon S3

   • Microsoft Azure

   • Google Cloud

2. Click to select the service provider that you want to use to upload your project data.
   
   Depending on your choice from these options, the fields displayed change.

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1. Enter the Bucket Name in which you want to store your project data.

2. Enter the Region closest to where you created the bucket. For details on the list of regions available in Amazon S3, see Amazon documentation.

3. Enter the Access Key and Secret Key associated with your account.

4. Click Submit to save your changes and return to the Datasets tab.

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Expand
title View as Gallery
View as Gallery If you are working on an image-related project, the Gallery View enables you to view the images that you imported in a batch, and perform specific tasks related to the images in the batch. To access the gallery view, click the icon in the row representing the batch and, from the menu options that appear, click Gallery View. The Gallery View modal appears. The Gallery View modal offers controls that enable you to perform the following tasks: Search for specific images View labeling input and output Revalidate completed labeling Download the dataset Regenerate output for completed tasks Search for Images To search for an image in the Gallery, enter any part of the name of the image in the Search field. The modal displays a filtered list of images in real time. View labeling input and output The Gallery View modal displays both input images and the output that labelers created for them. Viewing Labeling Input The input images appear by default when the Gallery View modal appears. To redisplay the input view if you are viewing the output, click the View drop-down list and select Input. Viewing Labeling Output To view the output view and related details: Click the View drop-down list and select Output. The modal now displays the images that have been labeled while displaying placeholder images for those that haven’t been labeled yet. To view the labeling details associated with an image, click it. The image opens in a new modal named after the image, and you can see both the input image, output labels/segmentation, and the overlapped visualization view. To download the JSON file generated by the labeling, click Download JSON. Click Regenerate Output, to regenerate the labeling output. This is especially useful if you decide to change the output format of the labeling data. For example, if you changed the output format from COCO to Pascal VOC, or any other custom format, click this button to regenerate the labeling data in the new preferred format. Click OK to close the modal and return to the Gallery View modal. Revalidate completed labeling UI not there yet. Download the dataset To download the dataset, complete with the labels, visualizations, and so on, click the Download Dataset button. All the data associated with the batch downloads on to your computer as a ZIP file. Regenerate output for completed tasks If you change the output format settings associated with your project mid-way into a batch, you may want to regenerate the output to match the new format requirements. To do so, click Regenerate Output for Completed Tasks and click Yes in the confirmation dialog box that appears.

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