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  • How to handle EXIF rotation
  • How to use Hasty API
  • Workspaces
  • Creating a pro workspace
  • Introduction to workspaces
  • Projects
  • Exporting data
  • Project Overview
  • Dashboard
  • AI assistants status overview
  • Creating and editing a project
    • Basics
    • Classes and attributes
    • File manager
    • Taxonomy
    • Upload images
    • Users and Roles
    • Import annotations
    • Automated labeling
    • Advanced options
    • Project Summary
    • Webhooks
  • Mounting buckets
    • Mounting buckets tutorial
  • Project Reports
  • Annotation environment
  • Introduction to the annotation environment
  • When to use which tool
  • Panning and zooming
  • Manual and semi-automated tools
    • Polygon
    • Brush and Eraser
    • Polygon <-> Mask Conversion
    • Merging polygons/masks into one annotation
    • Bounding Box
    • DEXTR
    • ATOM powered by SAM
    • Box to Instance
    • Image Tags
    • Label Attributes
  • Move/edit
  • AI assistants
    • Label Class Prediction Assistant
    • Label Attribute Prediction Assistant
    • Instance Segmentation Assistant
    • Object Detection Assistant
    • Semantic Segmentation Assistant
    • Image Tag Prediction Assistant
  • Quality assurance and control
  • AI Consensus Scoring
    • AI Consensus Scoring in the Annotation Environment
    • AI Consensus Scoring for Image Tags
    • AI Consensus Scoring for Attributes
    • How to improve your AI Consensus Scoring results
  • Manual Review
  • Export formats
  • COCO Dataset format
  • Image export
  • Pascal VOC
  • Hasty JSON v1.1
  • Semantic Segmentation (png images)
  • How to export a project
  • Import formats
  • Import annotations (Beta)
    • How to import annotations for an Object Detection task
    • How to import annotations for an Instance Segmentation task
  • Supported import types
  • Model Playground
  • Accessing Model Playground
  • Data Split
    • Creating a new split
    • Split Results
  • Creating an experiment
    • Individual experiment overview
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  • Explainability and Saliency maps
    • D-RISE
    • Grad-CAM
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    • Margin
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  • Label class prediction

Label class prediction

  • On this page
  • Widgets
    • GPU Consumption
    • Running time
    • Inference time
    • Accuracy VS Number of Iterations
    • Loss VS Number of Iterations
    • Predictions on classes
    • Confusion Matrix
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Widgets

GPU Consumption

Running time

Inference time

Accuracy VS Number of Iterations

Loss VS Number of Iterations

Predictions on classes

Confusion Matrix

Horizontal - True Value, Vertical - Predicted Value right
Last modified 6mo ago
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Instance Segmentation
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Object Detection

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  • On this page
  • Widgets
    • GPU Consumption
    • Running time
    • Inference time
    • Accuracy VS Number of Iterations
    • Loss VS Number of Iterations
    • Predictions on classes
    • Confusion Matrix
  • Report issue
  • Get help