# Image Annotation

Source: https://help.zira.us/docs/ai-vision/image-annotation
Summary: Open one dataset image to add and update labels in one place.
Updated: 2026-06-18

![Image annotation page](/docs/data-sources/image-annotation-01.png)

Open a dataset, then click an image to open this page.

This page is where you review one image, work on labels, and move between images without going back.

## Auto annotation

Use the button at the top when you want the system to help with labels.

- **Generic Model** runs the general auto annotation option
- **Custom Model** runs the custom auto annotation option
- **Batch Custom Model** runs the custom option on more images
- **Pallet Geometry & Nails** helps with pallet structure and nail labels

The main button uses the option that is currently selected.

## Auto detection options

Open **Annotation** on the left when you want to change how auto annotation works.

![Generic model settings](/docs/data-sources/image-annotation-02.png)

### Generic model

Use **Generic model** when you want the system to find common objects from your label list.

- choose the detection model
- choose which labels to include
- add simple label descriptions if needed
- adjust how strict the results should be

This is usually the easiest place to start.

![Custom model settings](/docs/data-sources/image-annotation-03.png)

### Custom model

Use **Custom model** when you already trained a model for this data source.

- pick the trained model
- adjust confidence
- adjust overlap filter
- set how many boxes can be added for each label

This is usually better when the generic option is not accurate enough.

![Click To Annotate settings](/docs/data-sources/image-annotation-04.png)

### Click To Annotate

Use **Click To Annotate** when you want help on one object at a time.

- choose the label on the left
- hold **Option**
- click the object in the image

If **Classify clicked objects** is on, the system tries to decide the label for you. If it is off, it uses the label you selected on the left.

### Included labels

Use **Included labels** to choose which labels the system should work with.

If you do not need every label, keep only the ones you want. This usually gives cleaner results.

### Label descriptions

You can add short words or phrases for each label.

This helps the system understand what each label means.

### Results

You can make the result more loose or more strict.

- **Confidence**: lower finds more objects, higher keeps only stronger matches
- **Overlap filter**: removes duplicate boxes
- **Max boxes per label**: limits how many boxes are added

### Request mode

You can choose how the result is returned.

- **Sync** shows the result here right away
- **Async** finishes in the background and saves when ready

## View

Use the **View** section on the left to change how you look at the image.

- **Turn selection off/on** changes whether you are selecting labels
- **Show active only** shows only the label you are working on

## Actions

Use the **Actions** section on the left for common image work.

- **Include zone** adds an area to include
- **Exclude zone** adds an area to ignore
- **Annotation** opens annotation options
- **Shortcuts** shows keyboard shortcuts
- **Copy labels** copies labels to other images
- **Bulk edit labels** updates labels in bulk
- **Delete image** removes the image

## Labels

Use the **Labels** section on the left to work with your label list.

- click a label to make it active
- the number next to each label shows how many of that label are in the image
- **Configure labels** opens the dataset label list

## Image list

The images on the right help you move through the dataset.

- click another image to open it
- the highlighted image is the one you are working on now
- the count at the top shows how many images are in the list

## Read next

- [Dataset Page](/docs/ai-vision/dataset-page)
- [Datasets](/docs/ai-vision/datasets)