---
title: "Dashboard"
slug: "dashboard"
tags: ["Add New Project", "Change your organization", "Configure your project", "Copy your organization ID", "Copy your project ID", "Create a project", "Delete a project", "Enable or disable a widget", "Manage API keys", "Manage widgets", "Rearrange a widget", "Rename your project", "View your project's resources"]
updated: 2026-09-21T18:34:03Z
published: 2026-09-21T18:34:03Z
canonical: "docs.dataloop.ai/dashboard"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataloop.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboard

## Overview

A project is a high-level organizational entity that defines and contains a scope of work and entities, such as Dataset, Recipe, Human Tasks, Users, Pipeline, Applications, etc. It provides a centralized location for managing data, tasks, and annotations of a specific ML/AI development activity context. It enhances collaboration between team members, consistency of data and annotations, and tracking of progress and results.

DDOE widgets are small applications or programs that facilitate access to the most used functions. The display of widgets in the dashboard can be managed by [enable or disable widgets](/docs/dashboard#manage-widgets). The following widgets are available in the Dashboard.

![](https://cdn.document360.io/53f32fe9-1937-4652-8526-90c1bc78d3f8/Images/Documentation/image(740).png)

| **Widget** | **Displays** | **Actions (Based on Role Permissions)** |
| --- | --- | --- |
| **Team** | - Available users and their roles in the active project - Their Labeling Company names - Groups - Number of Users, Groups, and Labeling Companies | - Add Users - Add Groups - Add Labeling Company - Edit Users (navigate to the Team page) |
| **Data Management** | - Available datasets - Items per dataset - Open tasks per dataset - Number of Datasets, Items, and Annotations | - Create Dataset - Create Integration - Create Storage Driver - Dataset-specific actions (Rename, Clone, switch Recipe, etc.) |
| **Pipelines** | - Pipeline Names - Pipeline Status - Last Execution date and time - Pending Cycles | - Create Pipeline (using a Template from the Marketplace) - Create Pipeline from scratch - Pipeline options: Go to the Pipeline page, Copy Pipeline ID, View Executions, View logs |
| **Human Tasks** | - Task Names - Task Types - Task Status - Updated timestamp - Number of tasks, labeling tasks, and QA tasks | - Create Task - Create Workflow via Pipeline (disabled for roles like Annotation Manager and below) - View Task Analytics - Edit and Delete Tasks |

---

## Manage Widgets

DDOE allows you to manage your Project Dashboard widgets. By default, all the widgets are displayed.

### Enable / Disable Widgets

1. Go to the **Dashboard** page.
2. Click **Settings** -> **Manage Widgets**. A drop-down popup is displayed.
3. Click on the **Toggle** button to disable or enable the widget.

### Rearrange Widgets

1. Click and hold the **Drag** icon in the top center of the widget.
2. Drag and drop to a new place as required.

---

## Configure Projects

It enables the control and activation of features that affect the entire project and apply to all relevant entities, such as recipes, tasks, datasets, etc. To access project settings:

1. Go to the **Dashboard** page from the left-side menu.
2. Click on **Settings** > **Project Configuration**. The Project Configuration popup is displayed.
  1. **General**:
    1. Enable/disable show task by org: When enabled, you can only view the tasks on the tasks page that are owned by you in your organization. This provides a certain ability to operate multiple labeling companies in the same project.
    2. Enable/disable force all users to remove status before editing annotations: When enabled, all users must remove the item status to edit the item. For more information, see the [Status Overlay on Completed Items](https://docs.dataloop.ai/docs/tasks-assignments#status-overlay-on-completed-items).
  2. **Media**:
    1. Enable/disable the WEBM format warning when using linked items.
    2. Frames Difference: This parameter specifies the tolerance to differences in frames that are produced during the conversion process when converting video files to WEBM format for frame-accurate annotations. While the default is set to 0 (zero), you can specify the tolerance level that will work best for your project's requirements to ensure frame-accurate annotations.
    3. FPS Difference: This parameter specifies tolerance in the frames-per-second difference between the original video file and the converted WEBM file, similarly frames-difference does. By default, 0.2 is displayed.
  3. **Dataset Columns**: The DDOE platform allows you to customize the dataset columns as per the metadata information. For example, if a metadata field DayInWeek is to be added to the dataset column, follow the steps:
    1. Click **Update Settings**. The Datasets Custom Columns popup window is displayed.
    2. Click **Add Column**.
    3. Enter the **Name**, **Label**, **Field**, and **Features** such as link (whether it is a link), allow resizing, formatting, sorting, etc.
  4. **Tasks Columns**: The DDOE platform allows you to customize the Tasks columns as per the metadata information. For example, if a metadata field `<fieldName>` is to be added to the dataset column, follow the steps:
    1. Click **Update Settings**. The Tasks Custom Columns popup window is displayed.
    2. Click **Add Column**.
    3. Enter **Name**, **Label**, **Field**, and **Features** such as link (whether it is a link), allow resizing, formatting, sorting, etc.

---

## Copy Organization IDs

1. Go to the **Dashboard** page from the left-side menu.
2. Click on the **Details**.
3. Click on the **Copy** icon next to the Owning Organization.

---

## Copy Project IDs

1. Go to the **Dashboard** page from the left-side menu.
2. Click on the **Details**.
3. Click on the **Copy** icon next to the Project ID.

---

## Rename Projects

1. Go to the **Dashboard** page from the left-side menu.
2. Click on your project name.
3. Enter a new name per the instructions, and press the **Enter** key.

---

## View Your Project's Resources

Project Resources helps you to understand more about the DDOE platform. It includes documentation such as Developers, Rest API, Python SDK, DDOE Documentation, and Video Tutorials.

1. Go to the **Dashboard** page from the left-side menu.
2. Click on the **Project Resources**.
3. Select the documentation from the list as required.

---

## Manage API Keys

API Keys are user-specific and manage your API Keys in **My API Keys**. Users with a Project-Owner role can also revoke any key in the project.

1. Go to the **Dashboard** page from the left-side menu.
2. Click on the **API Keys**. The available keys are listed under the **My API Keys**.
3. If you do not have any API key, click **Generate New Key**. You can generate up to 10 API keys.
4. Enter a description to record the new API Key use case.
5. Click **Generate**. The new API key will be created under the My API Key tab.

---

## Delete Projects

1. Go to the **Dashboard** page from the left-side menu.
2. Click **Settings**.
3. Click **Delete Project**. A confirmation message is displayed.
4. Click **Yes** to confirm.

A dataset is a bucket collection of Items (files), their metadata and annotations. It can have a file-system-like structure with folders and subfolders at any level. A dataset is mapped to a Driver (which derives from an Integration), to contain items synced from external cloud storage. Dataset versioning actions include cloning and merging.

A Recipe is a task-specific set of instructions that standardizes how data is labeled, processed, or analyzed within a project. It includes labels, attributes, annotation tools, and settings, ensuring consistency and efficiency. Linked with an Ontology, it defines labeling workflows, tool mappings, and instructions for generating high-quality labeled datasets.

Users are added to the project either from the organization that owns the project (typically for higher-level roles) or from other organizations (or possibly no organization at all). A project can have one or more Project Owners and Developers. The Project Owner can add Annotation Managers, who oversee the day-to-day work of all Annotators.

A collection of functions (machine processing via FaaS, models and code snippets) and tasks (human processing in labeling and QA tasks) that creates a processing flow. Structured from nodes (processing units) and connections (to move data types between nodes).

Functions and services can be deployed to execute automated processes on any entity within the Dataloop platform, including data items, annotations, tasks, datasets, and projects.