Supervisely
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  • 🤖What's Supervisely
  • 🚀Ecosystem of Supervisely Apps
  • 💡FAQ
  • 📌Getting started
    • How to import
    • How to annotate
    • How to invite team members
    • How to connect agents
    • How to train models
  • 🔁Import and Export
    • Import
      • Overview
      • Import using Web UI
      • Supported annotation formats
        • Images
          • 🤖Supervisely JSON
          • 🤖Supervisely Blob
          • COCO
          • Yolo
          • Pascal VOC
          • Cityscapes
          • Images with PNG masks
          • Links from CSV, TXT and TSV
          • PDF files to images
          • Multiview images
          • Multispectral images
          • Medical 2D images
          • LabelMe
          • LabelStudio
          • Fisheye
          • High Color Depth
        • Videos
          • Supervisely
        • Pointclouds
          • Supervisely
          • .PCD, .PLY, .LAS, .LAZ pointclouds
          • Lyft
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          • KITTI 3D
        • Pointcloud Episodes
          • Supervisely
          • .PCD, .PLY, .LAS, .LAZ pointclouds
          • Lyft
          • nuScenes
          • KITTI 360
        • Volumes
          • Supervisely
          • .NRRD, .DCM volumes
          • NIfTI
      • Import sample dataset
      • Import into an existing dataset
      • Import using Team Files
      • Import from Cloud
      • Import using API & SDK
      • Import using agent
    • Migrations
      • Roboflow to Supervisely
      • Labelbox to Supervisely
      • V7 to Supervisely
      • CVAT to Supervisely
    • Export
  • 📂Data Organization
    • Core concepts
    • MLOps Workflow
    • Projects
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      • Definitions
      • Collections
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    • Disk usage & Cleanup
    • Quality Assurance & Statistics
      • Practical applications of statistics
    • Operations with Data
      • Data Filtration
        • How to use advanced filters
      • Pipelines
      • Augmentations
      • Splitting data
      • Converting data
        • Convert to COCO
        • Convert to YOLO
        • Convert to Pascal VOC
    • Data Commander
      • Clone Project Meta
  • 📝Labeling
    • Labeling Toolboxes
      • Images
      • Videos 2.0
      • Videos 3.0
      • 3D Point Clouds
      • DICOM
      • Multiview images
      • Fisheye
    • Labeling Tools
      • Navigation & Selection Tools
      • Point Tool
      • Bounding Box (Rectangle) Tool
      • Polyline Tool
      • Polygon Tool
      • Brush Tool
      • Mask Pen Tool
      • Smart Tool
      • Graph (Keypoints) Tool
      • Frame-based tagging
    • Labeling Jobs
      • Labeling Queues
      • Labeling Consensus
      • Labeling Statistics
    • Labeling with AI-Assistance
  • 🤝Collaboration
    • Admin panel
      • Users management
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      • Server disk usage
      • Server trash bin
      • Server cleanup
      • Server stats and errors
    • Teams & workspaces
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    • Sharing
  • 🖥️Agents
    • Installation
      • Linux
      • Windows
      • AMI AWS
      • Kubernetes
    • How agents work
    • Restart and delete agents
    • Status and monitoring
    • Storage and cleanup
    • Integration with Docker
  • 🔮Neural Networks
    • Overview
    • Inference & Deployment
      • Overview
      • Supervisely Serving Apps
      • Deploy & Predict with Supervisely SDK
      • Using trained models outside of Supervisely
    • Model Evaluation Benchmark
      • Object Detection
      • Instance Segmentation
      • Semantic Segmentation
      • Custom Benchmark Integration
    • Custom Model Integration
      • Overview
      • Custom Inference
      • Custom Training
    • Legacy
      • Starting with Neural Networks
      • Train custom Neural Networks
      • Run pre-trained models
  • 👔Enterprise Edition
    • Get Supervisely
      • Installation
      • Post-installation
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      • Overview
      • Installation
      • Connect cluster
    • Advanced Tuning
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      • Generating Troubleshoot Archive
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      • Private Apps
      • Data Folder
      • Firewall
      • HTTP Proxy
      • Offline usage
      • Multi-disk usage
      • Managed Postgres
      • Scalability Tuning
  • 🔧Customization and Integration
    • Supervisely .JSON Format
      • Project Structure
      • Project Meta: Classes, Tags, Settings
      • Tags
      • Objects
      • Single-Image Annotation
      • Single-Video Annotation
      • Point Cloud Episodes
      • Volumes Annotation
    • Developer Portal
    • SDK
    • API
  • 💡Resources
    • Changelog
    • GitHub
    • Blog
    • Ecosystem
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On this page
  • How to Use the Software Development Kit (SDK):
  • How to Import Through APIs:

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  1. Import and Export
  2. Import

Import using API & SDK

PreviousImport from CloudNextImport using agent

Last updated 10 months ago

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Our software provides you with a Software Development Kit (SDK), which equips you with tools and resources to optimize data import processes. With the SDK, you can create custom solutions that best suit your needs.

How to Use the Software Development Kit (SDK):

  1. Access the SDK for our system and its .

  2. Utilize the SDK to create custom solutions that align with your specific needs.

  3. Integrate customized applications and solutions into your system to optimize data import.

By using the Software Development Kit (SDK), you gain a powerful tool for optimizing data import and creating custom solutions that align with your unique needs and goals. This makes the data management process more efficient and effective.

How to Import Through APIs:

Our system offers the flexibility to integrate data from various sources using Application Programming Interfaces (APIs). This powerful feature enables seamless data transfer and management, connecting our platform with external systems or services.

  1. Access the for our platform to understand the available endpoints and data import methods.

  2. Configure your data source to connect with our platform's API.

  3. Use API requests to initiate data transfer, specifying the data you want to import and its destination within our platform.

Importing data through APIs allows for seamless and automated data transfer, making it an ideal choice for integrating external data sources with our system. It empowers you to have more control over your data management and ensures data consistency and efficiency.

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