BasicAI Image Tool is a powerful tool for annotating images, including capabilities such as object detection, tracking, and segmentation.

This chapter will provide you with specific instructions for the tool.

Interface

The Image Tool interface consists of various sections:

• Workflow Bar: For viewing basic data info and performing task-related operations. See more details.
• Image Data: Images from camera sensors; served as a 2D canvas for detecting & tracking objects, and segmentation.
• Toolbar: Providing various annotation tools and result display settings.
• Timeline: For managing frames in the scene and object tracking.
• Mode Switch: For toggling between Instance and Segmentation annotation modes.
• Result Switch: For switching between Results, Classifications, Validity, and Comments lists. See more details.
• Result List: Displaying annotation results for efficient management.

📘

NOTICE：

For each task, these areas may vary based on the Annotation Type (Instance/Segmentation) and Scenario Type (Single Data/Scene) designated by the Project Manager.

We will explore them further in the detailed pages.

1. Object Detection & Tracking (Instance Annotation)
2. Segmentation Annotation

Canvas Transforms

• Translation: 🖱️Right click and hold to drag the canvas.
• Scaling: Scroll the mouse wheel up/down to zoom in/out.
• Selection: 🖱️Left click on results to select them. Once selected, the focus will automatically be on the result.
• Relocation: Press the hotkey Z to reset the canvas position.

Display Settings

For better image and result display, you can click the icon in the bottom left corner to open the settings panel.

1. Image Settings: You can enable the Image Smoothing button to make the image look smoother or adjust the brightness, contrast values, and pixel precisions.
2. Result Settings: It provides multiple setting options, such as adjusting opacity, border width, and default result color, as well as showing size, class, single/group result, etc.
3. Comment Setting: You can choose to show comments or not.
4. Other Settings: You can enable the buttons of measure line, measure tools, or bisector to add these auxiliary tools to the drawing canvas. In terms of the Display Mode, Mask means showing fully filled results, while Mark means showing border results; both the results of Mask and Mark can be hovered on for semi-transparent filling.