---
updatedAt: 2026-09-01T16:47:10.000Z
agentTools:
  projectIndex: https://documentation.picsellia.com/llms.txt
---

# Prediction review tool

Picsellia embeds an integrated *Prediction Review tool* that will allow you to review any `Prediction` done by a `ModelVersion` and logged in a `Deployment`.

**The main idea while reviewing a`Prediction` is to edit its `Shape` if the human considers this one is not correct. In other words, bring the *GroundTruth* against the `Prediction` done by the `ModelVersion`.**

So basically, if the human considers that the `Prediction` done by the `ModelVersion` is not fully correct, it means:

* Edit if needed, one or several `Shape` (*Localization*, *Position*, or `Label`) created by the `ModelVersion` in the `Prediction`
* Delete if needed one or several `Shape` that shouldn't exist
* Create one or several `Shape` missed by the `ModelVersion`

This *Prediction Review tool* is very similar to the *Annotation tool*. it is compatible with all *Detection Types*:

* *Object Detection*
* *Classification*
* *Segmentation*
* *Line Detection*
* *Key Point Detection*

The *Detection Type* is automatically set up by inheritance of the *Detection Type* defined with the deployed `ModelVersion`.

## 1. `Prediction` review process

From any `Deployment`, in the *Prediction tab*, you have access through the different [views](https://documentation.picsellia.com/docs/deployments-predictions-overview) to the `PredictedAsset` and associated `Prediction` logged. Each `Prediction` has a *Metadata* named *Status*, this *Status* reflects the stage of the `Prediction` in the review process:

* *TO REVIEW*: The `Prediction` has not been reviewed by a human yet
* *REVIEWED*: The `Prediction` has  been reviewed by a human
* *SUBMITTED*: The `Prediction` has been reviewed by a human and submitted to the [*Pipeline* through the *Feedback Loop*](https://documentation.picsellia.com/docs/deployments-setup-datapipeline)

<Image alt="Prediction Review status" align="center" border={true} src="https://files.readme.io/973f0c8-image.png">
  Prediction Review status
</Image>

Please note that this process is linear and not retroactive. This means that any `Prediction` logged in a `Deployment`  is created with the status *TO REVIEW*, once reviewed it goes in *REVIEWED* status, and once pushed to the *Pipeline* it goes in *SUBMITTED* status. **But there is no way to go backward.**

## 2. Simple Review or Prediction Review Campaign

As it is the case for `DatasetVersion`, you can define and orchestrate modular and personalizable workflows to review your `PredictedAsset`. This is useful in case you have many `PredictedAsset` to review with many users involved in this process.

This feature allows to brings traceability, organization, and work progress tracking in your review process.

An exhaustive documentation on this feature is available [here](https://documentation.picsellia.com/docs/deployments-prediction-review-campaign).

However, if you want to review the `PredictedAsset` of your `Deployment` straight away, you can still use the regular Prediction Review tool, its usage is detailed [here](https://documentation.picsellia.com/docs/prediction-review-tool).