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v1.0.0
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DATATURE PLATFORM
Introduction
Computer Vision
Deep Learning
Use Cases
Datature Pipeline
Contact Us
GETTING STARTED
Quickstart
Signing Up
Plans and Pricing
Upgrading Your Plan
Resource Usage
Building Your First Model
Building Your Image Classification Model
Building Your Object Detection Model
Building Your Segmentation Model
Building Your Keypoint Detection Model
Building Your Video Classification Model
Quick Access
Python SDK
manage
Workspaces
Workspace Dashboard
Workspace Settings
Projects
Project Dashboard
Project Statistics
Creating a Project
Renaming a Project
Deleting a Project
Project Collaborators
Adding a Collaborator
Removing a Collaborator
DATASETS
Asset Upload
Uploading Data
Connect Amazon S3 Bucket
Connect Azure Blob
Connect Google Cloud Storage
Connection Manager
Asset Management
Asset Group Management
Bulk Actions
Metadata Query
Similarity Search
Annotations
Uploading Annotations
Exporting Annotations
ontology
Ontologies
Class Tag Attributes
Annotate
Annotation Automation
Annotation Consensus
Performance Tracking
Annotation Types
Annotator
Annotation Canvas
Image Selector
Video Frame Selector
Annotation Toolbar
Video Annotation
Annotator Display Options
Annotation Grouping
Automatic Tools
Video Interpolation
Video Tracking
IntelliBrush
Everything
AI Edge Refinement
Model Assisted Labelling
Manual Tools
Bounding Box
Polygonal
Paintbrush
Freedraw
Classification
Keypoint Skeleton
External Labellers
Data Security
Annotation Comments
MODEL
Workflows
Creating a New Workflow
Auto-Suggest Workflow
Building a Workflow
Module : Dataset
Module : Augmentations
Module : Model
Previewing Augmentations
Running the Workflow
Training Option : Hardware Acceleration
Training Option : Checkpoint Strategy
Training Option : Advanced Evaluation
Trainings
Monitoring Training Process
Evaluating Model Performance
Advanced Evaluation for Model Performance
Improving Model Performance
Artifacts
Managing Trained Models
Downloading Artifacts
Export Formats
Verify MD5 Checksum
Post-Training Quantization
Post-Training Model Pruning
integratE
Project Keys and Secret Keys
Deployments
Deploying Your Trained Model as an API
Using and Managing Your Deployed API
Deployment Configuration
Inference Batch Jobs
Self-Hosted GPU Runner
Environment Setup
Runner Management
Model Training
Error Handling
Generating Predictions
Python Scripts
Portal
Installation
Registering/Deregistering a Model
Loading/Unloading a Model
Adding and Removing Images and Videos
Running Inferences
Video Prediction Interface
Image and Annotator Settings
Using Your Own Custom Models
developer tools
Python SDK
Workspace Management
Project Management
Asset Management
Asset Tag Management
Annotation Management
Workflow Management
Model Training Management
Artifact Management
Inference API Deployment Management
Inference Batch Job Management
Webhook Management
Dataset Management
Job Management
Built-in Types
Result Types
Operation Management
Built-in Types
Result Types
CLI
Getting Started
Project Management
Asset Management
Annotation Management
Artifact Management
Inference Batch Job Management
Dataset Management
Webhook Management
Job Management
Experimental Tools
Custom Model Import
TensorRT Export
Experimental Settings
Changelog
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Updated 10 months ago
