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Object detection
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Using image similarity search
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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
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