Data Collect using Form Based Collaboration

Data Collect using Form Based Collaboration


Skyl’s Form Based is an another method of data collection which can be done from Skyl Web Collaborator app. You can create a job to collect data with any number of collaborators. Each collaborator can login to the Web Collaborator App to start collecting data.

  1. Select “Form Based” under the “Data Collection” module


  2. Click on “Create a Collaborator Job” link-button


  3. Configure Collect Job

  4. Monitor job performance from the ‘Form Based’ and ‘Overview’ pages




Data Collect using CSV Upload

Data Collect using CSV Upload


Skyl’s CSV Upload is another method of data collection through which a user can upload large amounts of data to the dataset using a .csv file format.

  1. Select “CSV Upload” under the “Data Collection” module


  2. Select the “Upload CSV” link-button


  3. An Upload CSV widget will appear


    Before uploading your .csv file, you must make sure it has the same schema as the dataset

  4. Select “Download Dataset Schema”. From here, you can view the schema of the dataset and compare it to the schema of your existing .csv file. You can also choose to download the dataset schema as a template for data collection if you have not collected your data yet


  5. Once you have confirmed that your .csv file has the same schema as your dataset, you can proceed to drag-and-drop your file to the blue section or select the blue section and choose the appropriate file from your local drive. From here, you can begin uploading the dataset


  6. To preview the data, upload and choose which data to add to an existing dataset. From this page, you can also create a new dataset


  7. Select “Upload” to send your data to existing dataset

  8. Alternatively, you can select “Add as New Dataset”. Proceed by giving your new dataset a name and description, then select the “Upload” button


  9. A widget will pop up that displays the uploaded .csv files




Data Collect using Skyl Mobile Collaboration

Data Collect using Skyl Mobile Collaboration


Skyl’s Collect Mobile is another method of data collection navigated through the Skyl Mobile app. You can create a job to collect data with any number of collaborators for data collection via mobile application. Each collaborator can install the Skyl Mobile App to start collecting data.

  1. Select “Collect Mobile” under the “Data Collection” module


  2. Click on the “Create a Collaborator Job” link-button


  3. Configure Collect Job

  4. Monitor job the job performance from Collect Mobile page and Overview page



Data Collect using Collect API

Data Collect using Collect API


Skyl’s Collect API is a method of data collection through which data can be taken directly from its source. You can connect the API to your application and start collecting data immediately.

  1. Select “Collect API” under the “Data Collection” module


  2. Select “Get Project Access Token” to navigate to the ‘Project Access Token’ page. From here, create a Project Access Token


  3. In the “Project Access Token” page, select “Create Access Token” to generate an access token

  4. Copy Access Token


  5. Return to the ‘Collect API page’ and select the required code snippet


  6. Replace “PROJECT_ACCESS_TOKEN” with the Project Access Token

  7. Replace “IMAGE_URL” with a URL of an image

  8. Replace each “VALUE_OF_THIS_COLUMN” with the values of the selected image tag (Note: This is optional)

  9. Integrate the code into your system



Image Dataset

Image Dataset


In this section, you will find detailed information about the collected images. This includes an overview, meta information of image, statistical data of the ingest source, date of collection, and the collected image category.

You can also rename the columns of the dataset as per your ease and domain relevance.

  1. To see the full size image and information, click on the image


  2. Click to see the overview of your dataset


  3. Click in the Category column to see the category statistics


  4. Click in the Collect Date Time column to see statistics about the image’s collection date


  5. Click in the Ingest Source Summary column to see statistics about ingest sources


  6. Click to edit the column header and description




Data Collection Overview

Data Collection Overview


Data Collection Overview’ is a dashboard that provides statistical information about data collection performance every data collection source including:

  1. Collect API

  2. Form Based

  3. Mobile

  4. CSV Upload

On this page you will find 2 widgets:

  1. The “Trends” widget displays information on the amount of data uploaded during different time periods ( Last 7 days, Last 15 days, Last 30 days)


  2. The “Statistics” widget displays statistics around the dataset

    • The ‘Request’ column displays the number of data collection requests that could be uploaded to the dataset
    • The ‘Collected’ column displays the amount of data that was successfully collected
    • The ‘Exceptions’ column displays the requests which were not fulfilled due to an error


  3. Click on exception number to open a slider with detailed information about errors



Data Collect using CSV Upload

Data Collect using CSV Upload


Skyl’s CSV Upload is another method of data collection through which a user can upload large amounts of data to the dataset using a .csv file format.

  1. Select “CSV Upload” under the “Data Collection” module


  2. Select the “Upload CSV” link-button


  3. An Upload CSV widget will appear


    Before uploading your .csv file, you must make sure it has the same schema as the dataset

  4. Select “Download Dataset Schema”. From here, you can view the schema of the dataset and compare it with the schema of your existing .csv file. You can also choose to download the dataset schema as a template for data collection


  5. Once you have confirmed that your .csv file has the same schema as your dataset, you can proceed to drag-in your file to the blue section or select the blue section and choose the appropriate file. From here, uploading the dataset begins


  6. To preview the data, upload and choose which data to add to an existing dataset. From here you can also create a new dataset and add it there


  7. Select “Upload” to send your data to existing dataset

  8. Alternatively, you can select “Add as New Dataset”. Proceed by giving your new dataset a name and description, then select the “Upload” button


  9. A widget will pop up that displays the uploaded .csv files




Data Collect using CSV Upload

Data Collect using CSV Upload


Skyl’s CSV Upload is another method of data collection through which a user can upload large amounts of data to the dataset using a .csv file format.

  1. Select “CSV Upload” under the “Data Collection” module


  2. Select the “Upload CSV” link-button


  3. An Upload CSV widget will appear


    Before uploading your .csv file, you must make sure it has the same schema as the dataset

  4. Select “Download Dataset Schema”. From here, you can view the schema of the dataset and compare it with the schema of your existing .csv file. You can also choose to download the dataset schema as a template for data collection


  5. Once you have confirmed that your .csv file has the same schema as your dataset, you can proceed to drag-in your file to the blue section or select the blue section and choose the appropriate file. From here, uploading the dataset begins


  6. Once you drop the file for upload, the preview of the file will be displayed if there were no errors in the file schema i.e. the schema of the csv file you uploaded matched with the dataset. Here, you can upload the data in the file to current dataset or create a new dataset.


  7. Select “Upload” to send your data to existing dataset

  8. Alternatively, you can select “Add as New Dataset”. Proceed by giving your new dataset a name and description, then select the “Upload” button


  9. A widget will pop up that displays the uploaded .csv files




Data Collect using Form Based Collaboration

Data Collect using Form Based Collaboration


Skyl’s Form Based is an another method of data collection which can be done from Skyl Web Collaborator app. You can create a job to collect data with any number of collaborators. Each collaborator can login to the Web Collaborator App to start collecting data.

  1. Select “Form Based” under the “Data Collection” module


  2. Select the “Create a Collaborator Job” link


  3. Configure Collect Job

  4. Monitor job performance from the ‘Form Based’ and ‘Overview’ pages




Data Collect using Skyl Mobile Collaboration

Data Collect using Skyl Mobile Collaboration


Skyl’s ‘Collect Mobile’ is another method of data collection navigated through the Skyl Mobile app. You can create a job for data collection with any number of collaborators for via mobile application. Each collaborator can install the Skyl Mobile App to start collecting data.

  1. Select “Collect Mobile” under the “Data Collection” module


  2. Select the “Create a Collaborator Job” link


  3. Configure Collect Job

  4. Monitor the job and job performance from ‘Collect Mobile’ and ‘Overview’ pages