SentiSight.ai
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About
SentiSight.ai is a web-based platform for image labeling and developing AI-based image recognition applications. It offers features like image labeling with various tools (bounding boxes, polygons, bitmaps), smart labeling tool, shared labeling projects with time tracking, classification model training, object detection model training, online and offline models, pre-trained models, and image similarity search.
Platform
Task
Features
• pre-trained models
• image similarity search
• smart labeling tool
• image labeling
• online and offline models
• object detection model training
• classification model training
• shared labeling projects and time tracking
FAQs
Does image labeling require human input?
Yes, image labeling has to be done by humans, however, AI-assisted tools can speed up the process. Some of these AI tools need to be trained on already labeled images to make label suggestions for unlabeled images.
What can I do once I have finished labeling?
Labels can be downloaded as a .json file to then train a machine learning model yourself.
What are the benefits of a paid subscription for image labeling?
All features included into paid plan are also available in free plan, but in smaller quantities. For example, paid users can label more images, share a project with more users, use more predictions and label time, etc.
What object labels can be assigned to an image?
The image labeling tool by SentiSight.ai allows users to draw bounding boxes, polygons, bitmaps, polylines and points. Any images labeled by these are marked with a symbol.
What can the object labels be used for?
Object detection (available on SentiSight.ai), segmentation (custom project only) model training as well as for in-house model training after being downloaded as a .json file.
What does the “synchronise labels” setting do?
This setting means that the object labels added then label the image for classification with that same label.
What is a bounding box?
A bounding box is a simple rectangle shape that surrounds the labeled object within the image. Fixed aspect ratios can be set in the settings.
What is points?
Points are often used for labeling very small objects within the image.
What are polygons?
A polygon is a complex shape made up of multiple points connected by lines. An object may consist of multiple polygons and/or holes.
How can the bitmap label be used best?
A bitmap is a freeform hand-drawn mask used to label objects that are complex in shape.
What is the occluded icon?
This icon is for information purposes only, no influence on model training. Selecting the occluded feature will mark the border of the object with a dotted line.
What is the visibility icon?
This will hide the object label so it is easier to see and edit other objects. “Hide all objects” and “Show all objects” can also change the visibility of the objects within an image.
What does Keypoints achieve?
Keypoints will mark the position of important points and can be added to polygons and bounding boxes. Keypoint templates can be saved for a specific object label and will be implemented automatically when an object with the same label is selected
What is Rasterization?
The Rasterize button will convert the bounding boxes and polygons to bitmaps. Note: this will clear all keypoints and attributes from the object.
How to convert a bitmap to a polygon?
Use the “Convert to polygon” button. Users can choose a very detailed polygon conversion or a simpler polygon using “Simplify polygons converted from bitmap”.
Pricing Plans
Free
Free Plan• Access to the SentiSight.ai platform
• Image labeling
• Model training
• REST API
• Complimentary Credits
Job Opportunities
There are currently no job postings for this AI tool.
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