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Table of Contents

  • Command Line Interface
    • Positional Arguments
    • Named Arguments
    • Sub-commands:
      • shell
      • upgrade
        • optional named arguments
      • logout
      • login
      • login-token
        • required named arguments
      • login-secret
        • required named arguments
      • login-m2m
        • required named arguments
      • init
      • checkout-state
      • help
      • version
      • api
        • Positional Arguments
        • Sub-commands:
      • projects
        • Positional Arguments
        • Sub-commands:
      • datasets
        • Positional Arguments
        • Sub-commands:
      • items
        • Positional Arguments
        • Sub-commands:
      • videos
        • Positional Arguments
        • Sub-commands:
      • app
        • Positional Arguments
        • Sub-commands:
      • services
        • Positional Arguments
        • Sub-commands:
      • triggers
        • Positional Arguments
        • Sub-commands:
      • deploy
        • required named arguments
      • generate
        • optional named arguments
      • packages
        • Positional Arguments
        • Sub-commands:
      • ls
      • pwd
      • cd
        • Positional Arguments
      • mkdir
        • Positional Arguments
      • clear
      • exit
  • Repositories
    • Organizations
      • Integrations
    • Projects
    • Datasets
      • Drivers
    • Items
    • Annotations
    • Recipes
      • Ontologies
    • Tasks
      • Assignments
    • Packages
      • Codebases
    • Services
      • Bots
    • Triggers
    • Executions
    • Pipelines
      • Pipeline Executions
    • General Commands
      • Download Commands
      • Upload Commands
  • Entities
    • Organization
      • Integration
    • Project
      • User
    • Dataset
      • Driver
    • Item
      • Item Link
    • Annotation
      • Collection of Annotation entities
      • Annotation Definition
        • Box Annotation Definition
        • Classification Annotation Definition
        • Cuboid Annotation Definition
        • Item Description Definition
        • Ellipse Annotation Definition
        • Note Annotation Definition
        • Point Annotation Definition
        • Polygon Annotation Definition
        • Polyline Annotation Definition
        • Pose Annotation Definition
        • Segmentation Annotation Definition
        • Audio Annotation Definition
        • Undefined Annotation Definition
      • Similarity
    • Filter
    • Recipe
      • Ontology
        • Label
    • Task
      • Assignment
    • Package
      • Package Function
      • Package Module
      • Slot
      • Codebase
    • Service
      • Bot
    • Trigger
    • Execution
    • Pipeline
      • Pipeline Execution
    • Other
      • Pages
      • Base Entity
      • Command
      • Directory Tree
  • Utilities
    • converter
  • Tutorials
    • Getting Started With Dataloop SDK
      • 1. Dataloop SDK Overview
        • 1.1. About this guide
        • 1.2. Installing Prerequisite Software
        • 1.3. SDK Login
        • 1.4. Machine-to-Machine Login
        • 1.5. Datasets
        • 1.6. Creating a New Dataset
        • 1.7. Uploading items
        • 1.8. Getting Items
        • 1.9. Annotating Items
        • 1.10. Point Markers
        • 1.11. Working with Filters
        • 1.12. Using Filters to Replace Data
        • 1.13. Working with Item Metadata
        • 1.14. Creating Tasks
        • 1.15. Logging out
    • Data Management Tutorial
      • 1. Cloud Storage
        • 1.1. External Storage Dataset
      • 2. Dataset Binding with AWS
        • 2.1. Create the Lambda
        • 2.2. Add a Layer to the Lambda
        • 2.3. Create the Bucket Events
      • 3. Dataset Binding with Azure
        • 3.1. Create the Blob Function
      • 4. Dataset Binding with Google Cloud Storage
        • 4.1. Create the cloud function
      • 5. Manage Datasets
        • 5.1. Create Dataset
        • 5.2. Create Dataset With Cloud Storage Driver
        • 5.3. Retrieve Datasets
        • 5.4. Create Directory
        • 5.5. Deep Copy a Folder to Another Dataset
      • 6. Data Versioning
        • 6.1. Clone Datasets
        • 6.2. Merge Datasets
      • 7. Upload & Manage Data & Metadata
        • 7.1. Upload Specific Files
        • 7.2. Upload All Files in a Folder
        • 7.3. Upload Items From URL Links
        • 7.4. Upload Items with Metadata
      • 8. Upload & Manage Annotations
        • 8.1. Upload User Metadata
        • 8.2. Convert Annotations To COCO Format
        • 8.3. Upload Entire Directory and their Corresponding Dataloop JSON Annotations
        • 8.4. Upload Annotations To Video Item
        • 8.5. Upload Annotations In VTT Format
        • 8.6. Upload Audio Annotation to an Audio File
        • 8.7. Set Attributes On Annotations
        • 8.8. Free Text Attribute
        • 8.9. Range Attributes (Slider in UI)
        • 8.10. CheckBox Attribute (Multiple choice)
        • 8.11. Radio Button Attribute (Single Choice)
        • 8.12. Yes/No Attribute
        • 8.13. Show Annotations Over Image
        • 8.14. Download Data, Annotations & Metadata
        • 8.15. Download Items and Annotations
        • 8.16. Filter by Item and/or Annotation
        • 8.17. Filter by Annotations
        • 8.18. Download Annotations in COCO/YOLO/VOC Format
      • 9. Advance SDK Filters
        • 9.1. Filter Operators
        • 9.2. SDK defaults
        • 9.3. Delete a Filter
        • 9.4. Full Examples
      • 10. The Dataloop Query Language - DQL
        • 10.1. Filters
        • 10.2. Filter Annotations
        • 10.3. Filter Annotations by the Annotations’ Item
        • 10.4. Filters Method - “Or” and “And”
        • 10.5. Delete Filtered Items
        • 10.6. Annotation Filtering Fields
        • 10.7. Full Examples
        • 10.8. Advanced Filtering Operators
      • 11. The Dataloop Query Language - DQL
        • 11.1. Filters
        • 11.2. Filter Items
        • 11.3. Filter Items by the Items’ Annotations
        • 11.4. Filters Method - “Or” and “And”
        • 11.5. Update User Metadata of Filtered Items
        • 11.6. Delete Filtered Items
        • 11.7. Item Filtering Fields
        • 11.8. Full Examples
        • 11.9. Advanced Filtering Operators
        • 11.10. Response to DQL Query
      • 12. Pagination
        • 12.1. Pages
        • 12.2. Iterator of Items
        • 12.3. Set page_size
      • 13. Working with Metadata
        • 13.1. User Metadata
    • FaaS Tutorial
      • 1. FaaS Interactive Tutorial
        • 1.1. Concept
        • 1.2. Use Cases
      • 2. Introduction
      • 3. Basic Use Case: Single Function
        • 3.1. Create and Deploy a Sample Function
        • 3.2. Execute the function
      • 4. Multiple Functions and Modules
        • 4.1. Multiple Functions
        • 4.2. Multiple Modules
      • 5. UI Slots
        • 5.1. Define a UI slot in the platform
        • 5.2. Update the Package and Service with the Slot
        • 5.3. Activate the UI slot
      • 6. Executions Control
        • 6.1. Execution Termination
        • 6.2. Execution Timeout
      • 7. Using Secrets in a Function
      • 8. FaaS Docker Image
        • 8.1. Our Docker Image
        • 8.2. Public Docker Images
        • 8.3. Build Your Own Docker Image
        • 8.4. Using Private Docker Registry
      • 9. Example: Model Annotations Service
        • 9.1. Service Code
        • 9.2. Define the module
        • 9.3. Model and weights files
        • 9.4. Push the Package
        • 9.5. Deploy The Service
        • 9.6. Trigger the Service
        • 9.7. Uploading Model Weights as Artifacts
    • Task Workflows
      • 1. Creating Tasks
        • 1.1. Create A Task (Annotation task or QA task) Using Filter
        • 1.2. List of Items
        • 1.3. Entire Dataset
      • 2. Add items to an existing task
        • 2.1. By Filters
      • 3. Managing Tasks & Assignments
        • 3.1. Get Task
        • 3.2. Get Assignments
      • 4. Redistribute and Reassign Assignments
        • 4.1. Redistribute
    • Image Annotations
      • 1. Setup
        • 1.1. Initiation
        • 1.2. Optional Plotting
      • 2. Classification Point and Pose
        • 2.1. Classification
        • 2.2. Classify Multiple Items
        • 2.3. Create a Point Annotation
        • 2.4. Pose Annotation
      • 3. Bounding Box and Cuboid
        • 3.1. Create Box Annotation
        • 3.2. Create a Rotated Bounding Box Annotation
        • 3.3. Convert Semantic Segmentation to Bounding Box
        • 3.4. Create Cuboid (3D Box) Annotation
      • 4. Polygon and Polyline
        • 4.1. Create Single Polygon/Polyline Annotation
        • 4.2. Create Multiple Polygons from Mask
        • 4.3. Convert Mask Annotations to Polygon
        • 4.4. Convert Polygon Annotation to Mask
      • 5. Ellipse and Item Description
        • 5.1. Create Ellipse Annotation
        • 5.2. Item Description
      • 6. Segmentation
        • 6.1. Init Segmentation
        • 6.2. Create a Semantic Segmentation Annotation
        • 6.3. Convert Mask to Polygon
        • 6.4. Convert Polygon to Mask
        • 6.5. Create Semantic Segmentation from Image Mask and Upload
      • 7. Advance Tutorials
        • 7.1. Copy Annotations Between Items
        • 7.2. Show Images & Annotations
        • 7.3. Show Annotations from JSON file (Dataloop format)
        • 7.4. Count total number of annotations
        • 7.5. Parenting Annotations
        • 7.6. Change Annotations’ Label
    • Video Annotations
      • 1. Setup
      • 2. Create A Single annotation
      • 3. Adding Multiple Annotations Using Annotation Builder
      • 4. Read Frames of an Annotation
      • 5. Create Frame Snapshots from Video
      • 6. Play An Item In Video Player
      • 7. Show Annotations in a Specified Frame
    • Recipe and Ontology
      • 1. Recipe and Ontology Concepts
      • 2. Preparing - Entities setup
      • 3. Create an Ontology
      • 4. Labels
      • 5. Attributes
      • 6. Add attributes to the ontology
      • 7. Read Ontology Attributes
      • 8. Getting all labels is (including children):
      • 9. Working With Recipes
      • 10. Cloning Recipes
      • 11. View Dataset Labels
      • 12. Add Labels by Dataset
      • 13. Add Labels Using Label Object
      • 14. Add a Label and Sub-Labels
      • 15. Add Hierarchy Labels with Nested
      • 16. Delete Labels by Dataset
      • 17. Update Label Features
    • Model Management
      • 1. Model Management
        • 1.1. Quick Overview
        • 1.2. Introduction
      • 2. Create your own Package and Model
      • 3. Dataloop Dataloader
        • 3.1. Object Detection Examples
        • 3.2. Segmentation Examples
        • 3.3. Setting a Label Map
        • 3.4. Batch size and batch_size and collate_fn
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