User guide - SentiSight.ai
Neurotechnology - fingerprint, face, eye iris, voice and palm print identification, speaker and object recognition software
  • Solutions
    • Object detection
    • Image segmentation
    • Image classification
    • Image similarity search
    • Image annotation
      • Image Annotation Platform for Agencies
    • Computer vision consulting
    • Pre – trained models
    • Custom projects
  • User guide
    • User guide
      • Image labeling
      • Labeling project management
      • Image classification
      • Object detection
      • Image segmentation
      • Using image similarity search
      • Labeling by similarity
      • Using pre-trained models
      • Wallet information
      • SentiSight.ai Mobile APP
    • Video tutorials
      • Image labeling tutorials
      • Classification video tutorials
      • Object detection training tutorial
      • Image segmentation model training tutorial
      • Image similarity search tutorials
    • FAQ
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    • About SentiSight
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  • Solutions
    • Object detection
    • Image classification
    • Image similarity search
    • Image annotation
      • Image Annotation Platform for Agencies
    • Computer vision consulting
    • Pre – trained models
    • Custom projects
  • User guide
    • User guide
      • Label images
      • Image labeling
      • Image classification
      • Object detection
      • Using image similarity search
      • Using pre-trained models
    • Video tutorials
      • Image labeling tutorials
      • Classification video tutorials
      • Object detection training tutorial
      • Image similarity search tutorial
    • FAQ
  • Pricing
  • Blog
  • About
    • About SentiSight
    • About Neurotechnology
    • Changelog
  • Contact us
  • Login
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            User guide

            • Home
            • User guide
             

            Image labeling

            • Label Images
              • Important terms
            • Labeling images for classification
              • Synchronize labels
            • Labeling images for object detection and segmentation
              • Complex object labeling
                • Bounding boxes
                • Polygons and polylines
                • Bitmap
              • Shared features
                • Keypoints
                • Rasterization
                • RPY
                • Converting bitmap to polygon
              • Labeling tips
            • Smart labeling tool
              • Using smart selection tool
            • AI-assisted labeling
              • Labeling by similarity
            • Labeling settings
            • Video tutorials

            Labeling project management

            • Project Management
            • Project sharing & user management
              • Project Manager Window
              • User Permissions
              • User Shares Limit
              • User times
              • Labeled object count
              • General project management tips
            • Uploading labels
              • Uploading image classification labels as a .CSV
              • Uploading all image labels as a .JSON
              • Uploading color bitmaps as a .PNG
              • Uploading B/W bitmaps as a .ZIP
            • Dowloading labels
            • Image filtering
            • Video tutorials

            Image classification

            • How it Works
            • Uploading and Labeling images
              • Default labels
              • Uploading labels
            • Training your classification model
              • Why single-label?
              • Training your single label classification model
              • Why multi-label?
              • Training your multi label classification model
              • Analyzing the model’s performance
                • Understanding best model
                • Viewing predictions on Train and Validation sets
            • Making predictions
              • Making predictions using web-interface
                • Predictions on uploaded images
                • Predictions on existing images
              • Making predictions via REST API
                • Making predictions using an image from your computer
                • Making predictions using an image URL
                • Making predictions using a Base64 encoded image
              • SentiSight.ai Swagger specification
              • Using the model offline—setting up your own REST API server
            • Video tutorials

            Object detection

            • How it Works
            • Uploading and Labeling images
            • Training your object detection model
              • The training process
              • Analyzing the model’s performance
                • Understanding best model
            • Making predictions
              • Making predictions using web-interface
                • Predictions on Uploaded images
                • Predictions on existing images
              • Making predictions via REST API
                • Making predictions using an image from your computer
                • Making predictions using an image URL
                • Making predictions using a Base64 encoded image
              • SentiSight.ai Swagger specification
              • Using the model offline—setting up your own REST API server
            • Video tutorials

            Instance segmentation

            • How it works
            • Uploading and labeling images for segmentation
            • Training your segmentation model
              • The training process
              • Analyzing the model’s performance
                • Understanding best model
            • Making predictions
              • Making predictions using web-interface
                • Predictions on uploaded images
                • Predictions on existing images
              • Making predictions via REST API
                • Making predictions using an image from your computer
                • Making predictions using an image URL
                • Making predictions using a Base64 encoded image
              • SentiSight.ai Swagger specification
              • Using the model offline—setting up your own REST API server

            Using image similarity search

            • Using image similarity search
              • Using image similarity search tool via SentiSight.ai web platform
                • 1vN Results
                • NvN Results
                • Similarity Search and Image Labeling
              • Using image similarity search tool via SentiSight.ai REST API
                • 1vN image similarity search with an image from your computer
                • 1vN image similarity search with an existing image in your data set
                • 1vN image similarity search with an image URL
                • 1vN image similarity search with a Base64 encoded image
                • NvN image similarity search
              • SentiSight.ai Swagger specification
              • Using Image Similarity Search offline – setting up your own REST API server
              • Video tutorials

            Labeling by similarity

            • How it works
            • Use cases
              • AI-assisted and iterative labeling
              • Classification predictions
            • Uploading images
            • Labeling by similarity using web platform
            • Labeling by similarity using REST API
              • Label by similarity using an image from your computer
              • Label by similarity using an image URL
              • Label by similarity using an image in your project
              • Label by similarity using a Base64 encoded image
              • SentiSight.ai Swagger specification
            • Using Label by Similarity offline
            • Video tutorial

            Using pre-trained models

            • Using pre-trained models
            • Using pre-trained models via SentiSight.ai web platform
            • Using pre-trained models via SentiSight.ai REST API
              • Classification, Object detection, Instance segmentation and Pose estimation samples
                • Using an image from your computer
                • Using an image URL
                • Using a Base64 encoded image
              • Text recognition samples
              • SentiSight.ai Swagger specification
              • Using the model offline—setting up your own REST API server

            Wallet information

            • Wallet
            • Getting started
              • User shares
              • Monthly expenses
              • Account information
              • Topping your account up
              • Overdraft
              • Vouchers

            Image operations over REST API

            • Creating a project
            • Uploading images
              • Upload an image from your computer
              • Upload an image using an image URL
              • Upload a Base64 encoded image
            • Retrieving images
            • Deleting images
            • SentiSight.ai Swagger specification

            SentiSight.ai Mobile APP

            • Getting Started
            • Features
              • Pre-trained models
              • Project window
                • Image info
                • Model tab
              • Similarity search
              • Wallet and account information
             
             

             

             

             

             

            SentiSight is finally on your phone

            Get Sentisight app on Google Play

            Download Sentisight app on the App Store

            About

            →About company

            →Visit Neurotechnology website

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            Legal information

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            Other Neurotechnology products and subsidiaries

            →www.megamatcher.online

            →www.stockgeist.ai

            →www.biometricsupply.com

            →www.focusonics.com

            →www.ultrasoundresearchgroup.com

            →www.ncheck.net

            →www.skybiometry.com

            Contacts

            Laisves av. 125A, Vilnius
            LT-06118, Lithuania


            +370 5 277 3315


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            SentiSight is run by Neurotechnology. © 2018 - 2023 Neurotechnology. All Rights Reserved.
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