Creating and editing a project

Create a new project

To create a project, first, you have to go to the project overview. From there, click on the "Create new project" card. This will take you to the project setup page:

Give the project a name and a description and then click "create" to create a new project.

Edit an existing project

To edit an existing project, go to project overview and click on the three dots in the bottom right of the project card of whatever project you want to edit. Then select the edit-option. You can also go to the edit screen directly from the annotation interface by clicking the menu in the top left corner. Then select Project > Edit project settings.

Basics

On the first setup screen, you can set the name of a project and add a project description. This should be relatively self-explanatory but a general tip would be to make both the name and the description as descriptive and understandable as possible.

When you are done editing any fields on this page, don't forget to press the "save" button to save your edits.

Label classes

Here you can create and edit label classes that will be used in your project. Every label class needs a type, a name and a color.

Don't give a label class the same color as the object you want to label. For example, if you are labelling bananas, it wouldn't be ideal if the banana label class color is yellow as it makes it harder to see the object underneath the annotation.

Creating a new label class

You can create a new label class by specifying a type of label class, picking a color, and then write a name for the new class. When you are done, press "enter" to create the new class.

Here we add a lollipop to our default demo dataset

Editing an existing label class

You can edit an existing label class by hovering over it with your mouse pointer and then click. This will open up an edit overlay where you can change the name, color, and type of the class.

You can also change the type of a label class by dragging it from one type to the other like so:

Label class types

There are two different types of label classes. Foreground and background.

Foreground classes can be used in all types of annotation. You use foreground classes to annotate "things" or "objects" - meaning any actual object or animal with a discernible and coherent shape.

Examples of foreground classes are: Melons, bicycles, houses, and hedgehogs.

Background classes are mainly used when doing semantic segmentation and panoptic segmentation and are used to mark "stuff" - meaning anything that is not an object or an animal.

Examples of background classes are: Sky, grass, ignore/not relevant, and water.

Images and datasets

On this screen, you can create and remove datasets in a project. Datasets are collections of images, not unlike folders in your operating system, where you can collect images. The usage of arranging your images in specific datasets can be many, but to give you some examples:

  • You can create individual datasets for images taken in different settings. This will allow you to concentrate on a specific type of data. Example: Stockholm, Berlin, Hong Kong, Buenos Aires

  • You can create individual datasets for specific annotators or team of annotators. This will allow you to assign a dataset to a person/team. Example: Team Blue, Team Pink, Team Rocket

  • You can create a new dataset on every new import of data. This makes it easier to see when a specific section of your project data has been completed while also improving quality control workflows Example: 19th of September 2019, 5th of October 2019, 2nd of November 2019

Creating a new dataset

You can create a new dataset easily by going to the form field at the top of a page, then write the name you want your dataset to have, and then press "enter".

Removing a dataset

You can remove a dataset by hovering with your mouse over a dataset, and then click the cross that appears in the top right corner.

Uploading images to a dataset

Specifying which dataset you want to upload to

Before you upload, click on the dropdown menu above the drop area to select to which dataset you want to upload your images. Please note that you can only upload images to one dataset at a time.

Upload images

You can upload images to a dataset by either dragging files or folders into the drop area or by clicking the link underneath the cloud icon and then select using your file explorer which files/folders you want to add.

File upload failures

Currently, we can only support a limited amount of file types. If your file is not in one of these formats you will not be able to add it to Hasty. If your file type is supported but you still get error messages, contact us directly so that we can solve your problem.

Users and roles

Users

Here you can add users to your project. To do so, provide us with an email, and a role for the user. Then press "enter".

When you add a new user, they will receive an email that they have been added to the project.

Currently, we are experiencing some problems with sending these emails to users. You might have to contact newly added users yourself. We are working on fixing this issue.

You can also remove a user by hovering over the name and then pressing the x that appears in the top right corner.

Finally, you can edit the role of a user by clicking on the name and then changing the assigned role in the modal dropdown menu.

User roles

User roles are a function put in place so that you can easily set up permissions for many users at once. It allows you to specify what a specific role can and cannot do. When you have it set up as you want, you can then easily assign any user that specific role. There are 5 default user roles that you can use from the start. Those are:

  • Project owner: The owner of the project. This will always be the creator of the project. The project owner is the only one with all permissions and the only one that can change permissions for users.

  • Administrator: Your typical administrator account. In our default setup, the admin can do anything except for editing user roles.

  • Supervisor: In larger projects, it is common to have specific supervisors that check the quality of annotations regularly. Users with this role can't administrate the project but can see the project summary report and

    set an image to the image status "done" unlike a...

  • Labeller: A labeller can only view and annotate a project.

  • View only: Mainly a role for clients. Allows view-permissions to a project but doesn't let you change anything.

The intended workflow with this setup is that a labeller annotates an image and then set the status of the image "to review". A supervisor checks the images and, if satisfied, updates the status to "done". Administrators and the project owner can participate in both steps, and can also change the project settings as they go.

However, we know that workflows changes from organization to organization. That's why user roles are completely customizable allowing you to set up your project to fit your workflow.

Adding a new role

To add a new role, click the "Add new" button. Then pick a color and a name for the role.

User role colors are used throughout the tool as a way of allowing you to see what role a user have easily. When creating a new role, try to pick a color that is not too close to the color of an already existing role.

Editing a role

You can edit a role by clicking on the name at the top of the permissions table. This will open up a modal in which you can change the name and the color of the role.

Deleting a role

You can remove a role by hovering over its name, and then clicking the x that will appear in the top right corner.

User permissions

Below the role names, you will have a series of boxes. These are permission boxes. By clicking one of them, you can add/remove a permission. You add a permission by clicking an empty box and remove a permission by clicking on a box with a checkmark in it.

When editing permissions, don't forget to save your changes by clicking the "Save changes" button at the bottom of the page.

The permissions that are available in the tool are organized in four different categories. The categories and permissions are:

  • Administrate: Permissions tied to the administration of a project.

    • Edit project classes: Permits creation, editing, and removal of label classes

    • Upload images: Permits users to upload images to a project

    • Export: Permits users to export annotations from Hasty

    • Invite/Edit/Remove users: Permits user to invite, remove, or edit the roles of users

    • Import: Permits users to upload own annotations to the project

  • Manage roles: Permits users to manage roles - including removing/adding new roles and changing the permissions of existing roles. For now, this is fixed so that only project owners can manage roles.

  • Annotation: Permissions that impacts the annotation environment

    • Annotation: Roles with this permission can add, delete, and edit annotations in the annotation environment.

    • Supervision: A permission that allows a user to set an image to "done"

  • Project summary: Roles with this permission can see the project summary report.

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