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Image Annotation Tool
Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they see.
The interface of Image Annotation includes Tool, Image data/Canvas, Result, Data info and Settings area, which is straightforward.
Image Annotation Tool Interface
Select the annotation types (bounding box, polygon and polyline) from the left tool bar that you need and draw on the canvas, then select the class and the attribute.
Xtreme1 Image Annotation Tool is integrated with various models for different use cases.
Easily run a model prediction by one-click and results will be generated on the image.
AI-assisted Pre-labeling of Autonomous Driving Datasets
All available models can be chosen from the list.
Select the interactive model (for segmentation) and create a bounding box to the object then a polygon that fits the recognized object will be created by the AI model.
Interactive AI Model for Image Segmentation
Click Info icon to view data information. Data ID, data name, dimension and file size can be found.
In Settings, some parameters can help you on the annotation process by adjusting values or switching options from brightness, contrast, opacity, auxiliary lines or display modes.