Vision
What is image annotation?
Image annotation is human or model labels — boxes, captions, classes — stored on visual rows so training and review can reuse them.
Updated
How it works
- The image or frame is the row.
- A person or a model writes labels onto that row.
- Training and review read the same rows.
What it is not
It is not a labeling product that never runs your models, and it is not labels trapped in an export file.
image annotation: this, and the thing it is confused with
| This | Not this | |
|---|---|---|
| Lives on | The media row | A separate labeling project |
| Who writes | A person, a model, or both | Only a vendor UI |
| Reuse | The same table trains and audits | A dumped JSON |
Where Pixeltable fits
Pixeltable stores labels as columns beside the image. A labeling tool can still be where people draw; the table is where the labels stay.
Questions
How does image annotation work?
The image or frame is the row. A person or a model writes labels onto that row. Training and review read the same rows.
What is image annotation often confused with?
It is not a labeling product that never runs your models, and it is not labels trapped in an export file.
Next step
Install the Pixeltable skill, or sign up for Cloud and run the same file on a hosted database.