
Use the Validation tab when you want to review recorded validation sessions for a vision data source.

This tab is the main entry point for review work after the device has already captured validation videos or QA snapshots. From here, you can open the session, add review marks, and send useful examples into dataset work for model improvement.

## Before you start

Open the data source in Vision view, then click the **Validation** tab.

![Validation tab with recorded sessions ready for review.](/docs/vision/validation/01-validation-tab-overview.png)

## How to use it

1. Open the data source.
2. Click the **Validation** tab.
3. Review the session list.
4. Click a session row to open its review page.
5. Use the review page to add marks, inspect the session, and move useful examples into dataset work.

## What you can do here

- Review validation sessions by date and time.
- Check how many marks already exist for a session.
- Open the marks count when you want to read existing review notes first.
- Use the session totals to understand how much review material is available before you open it.

The exact columns change by data source type:

- Vision video review shows **Raw**, **Val**, and **Total** counts for recorded clips.
- Pallet QA review shows **Images**, **Size**, and **Latest** so you can open snapshot-based sessions.

## Review Vision video sessions

Use this flow for video-based vision data sources.

- Click a session row to open **Video Review**.
- Use **Mark** to save feedback at the exact time in the clip.
- Use the marks list to jump back to saved moments.
- Use **Sample Images** when you want to create still images from the raw video around the saved marks.
- Choose the destination dataset and split when you sample images so the new frames are ready for model improvement work.

## Review pallet QA snapshot sessions

Use this flow for pallet-focused QA data sources.

- Click a session row to open the image-based review page.
- Review the image, the inspection summary, and the rest of the session in one place.
- Use **Mark** to flag issues such as missed defects or false defects.
- Save marked images so they can be reused in follow-up dataset work.
- Open **Gap analysis** from the session actions menu when you want to investigate unusual timing gaps between captured snapshots.

## Tips

- Open the marks count before you start if another teammate may already have reviewed the session.
- Use validation sessions to decide which examples are helpful enough to keep for future training.
- For video review, sample images only after your marks are in place so the extracted frames are centered around the right moments.
- For pallet QA, review the inspection details before marking an issue so you can compare the image with the device result.

## Read next

- [Image Review](/docs/data-sources/image-review) - Review pallet QA validation images with inspection details and session image controls.
- [Video Review](/docs/data-sources/video-review) - Review validation clips, add marks, and sample images around marked moments.
- [Datasets](/docs/ai-vision/datasets) - Continue with dataset preparation and organization after review.
- [Remote Control](/docs/ai-vision/remote-control) - Collect new recordings or sample images from the live device.


Use the Validation tab to review validation sessions, open the matching review page, and capture feedback that helps improve future model results.

Validation


Use **Image Review** when you want to review one pallet QA validation session image by image, compare the device inspection with the actual snapshot, and save feedback for follow-up model improvement work.

This page is especially useful when a team needs to confirm whether the device missed a defect, marked a false issue, or needs better training examples from a specific session.

## Open Image Review

1. Open a pallet QA data source.
2. Click the **Validation** tab.
3. Click the session you want to review.
4. Click an image in that session.

The page opens with marks and inspection details on the left, the current image in the center, and the rest of the session on the right.

The left panel is one scrollable card of collapsible sections, all at the same level: **Marks**, a **Pallet** section, a section for each captured pallet **side**, and (when available) **Auto Detect**. Every section starts collapsed with a short summary in its header — expand the ones you need and scroll the panel when a section runs long.

![Image Review page with marks, inspection details, and the current session image list.](/docs/data-sources/image-validation/01-image-validation-overview.png)

## What each area does

### Marks

Use the **Marks** panel to review saved feedback for the session.

- The count next to **Marks** shows how many marks exist in the current session.
- Click a mark to open the related image.
- Use the delete button on a mark when you want to remove a mark from the current image.
- Use the move button in the panel header when you want to move all marked images into a dataset.
- When a mark points at specific slices, their ids (for example `b2-s1`) appear on their own line under the label, so you can tell a colleague exactly which crop you meant.

### Copies

Use the **Copies** panel to see where the current image has already been sent. It is the last panel on the left, and it appears **only for images that have been copied** — no panel means this image has never gone into a dataset.

- Each entry shows whether the whole image or only slices were copied, the destination dataset and split, whether annotations went with it, and who copied it when.
- For a slice copy, the entry lists the slice ids that were sent.
- Images with a copy record are badged **Copied** in the **Session Images** list, so you can spot at a glance which frames of a session are already in dataset work.

### Inspection (Pallet and side sections)

Use the inspection sections to compare the device result with the actual image.

A pallet can be captured by several synced devices at once — one for each side (for example top,
left, and right). Each part is its own collapsible section in the left panel, with its disposition
shown in the section header:

- **Pallet** — the pallet-level result the devices agreed on: disposition, lane, matched stage,
  catalog, model, rules matched, and color.
- **One section per side** — expand a side to see its snapshot image, with that side's detection
  boxes drawn on it, plus its full inspection payload. If a side has no snapshot, the section says so
  instead of showing a broken image.

Click any side's snapshot to open the **full image**. In that view you can see the detections with
their label names, **rotate the image in 90° steps** when the camera captured that side at an angle
(the boxes rotate with it), and open the original at full resolution.

Each side can show:

- disposition
- lane
- matched stage
- catalog
- model
- rules matched
- boards and stringers counts
- defect counts such as missing boards, broken boards, and cracks
- quality values such as coverage, squareness, dimension, and side

### Main image viewer

Use the center viewer when you want to inspect the current snapshot closely.

- **Prev** and **Next** are floating buttons over the left and right edges of the image, so you can step through the session without moving away from the picture. At the end of a session, **Next** can continue to the next session.
- The center viewer always shows the image you opened, with its detection boxes and measurement overlay. To see the other captured sides of the same pallet, expand each side section in the left panel, where each side shows its own snapshot.
- Your **zoom, pan, RAW/VAL toggle, and measurement overlay carry over as you move between images**, so you don't have to re-set your view on every snapshot.
- The view controls stay together on a single row above the divider.
- **Mark** opens the review mark window for the current image.
- **RAW** hides the detection boxes and shows the plain image.
- **VAL** brings the detection boxes back so you can see the detected labels.
- The **ruler button** toggles the measurement overlay (the colored board/stringer segmentation masks and the green dimension lines that show overhang and board sizes). It appears only when measurement data exists for the image.
- **Scroll the mouse wheel over the image to zoom in and out**, centered on wherever your pointer is — the spot you are pointing at stays under the cursor as it grows. On a trackpad, **pinch to zoom**.
- Once you are zoomed in, move around the image by **scrolling with two fingers on a trackpad**, by **dragging** with the left button, or by **pressing the mouse wheel like a button and dragging**.
- Holding **Cmd** (or **Ctrl**) while scrolling always zooms, whichever device you are using.
- **1x** shows the current zoom, and clicking it steps up through the zoom levels and back to 1x.
- The download button saves the current image.
- The fullscreen button opens a larger review view.

### Filter the session

Filter chips sit above the viewer so you can narrow a long session to the images worth your time.

- **Defect chips** focus on images tagged with a specific defect type.
- **Disposition chips** filter by the device's verdict for the **whole pallet** — for example
  **Pass**, **Defect - Severe**, or whatever dispositions the session contains. Each chip shows how
  many images carry that result, so you can jump straight to every scrapped pallet in a session.
- **Pallet mark** filters by the mark the camera read off each pallet — useful when you want to look
  only at one product or batch. It appears only when the session actually contains marked pallets,
  and pallets the camera could not identify are left out of the list.
- Click a disposition chip again to clear it, or use **All** to clear every filter at once.
- Dispositions load in the background as the session is read, so those chips fill in shortly after
  the page opens and their counts climb as more of the session is scanned.
- If the image you're on gets filtered out, the page moves you to the first image that still matches.

### Session Images

Use the **Session Images** panel to keep the rest of the session within reach while you work.

- The size label shows the image resolution for the session.
- The range label shows which images are currently visible in the list.
- The image counter shows where the current image sits in the filtered session.
- Click any thumbnail to open that image.
- Use the checkboxes when you want to select several images.
- Use the selection menu to select the current page, all filtered images, or a custom range.
- Use the copy button after selecting images when you want to send them to a dataset.
- Use the clear button to remove the current selection.

## Add a review mark

1. Click **Mark**.
2. If you have slices selected on the image and the mark is about those crops, click **Add selected slices**. This records their ids on the mark — the crops themselves are not copied anywhere.
3. Choose **Miss Defect**, **Not A Defect**, or **Other**.
4. If you choose **Other**, add a short note.
5. Click **Save mark**.

Saved marks appear in the **Marks** panel and stay attached to the session so the next reviewer can continue from the same point.

![Add review mark window with the available review labels.](/docs/data-sources/image-validation/02-image-validation-mark-dialog.png)

## Move or copy images into dataset work

Use the dataset actions when you find images that should help improve the model.

- Use the move button in **Marks** when you want to move all marked images from the current session.
- Use the selection tools in **Session Images** when you want to copy only part of the session.
- Choose the target dataset and split in the dataset window before you confirm.
- The window reopens with your **last dataset, split, and annotations choice** already set, so copying image after image into the same place takes one click less each time.
- Every copy is recorded on the source image, and shows up in its **Copies** panel and as a **Copied** badge in the session list.
- If an image or slice already went to that same dataset and split, you get a warning naming what is already there, because copying again replaces it. Choose **Copy anyway** when replacing is what you want — for example after a better model run — or cancel and pick another dataset or split without losing your settings.

## Tips

- Start with the **Inspection** card before adding a mark so you can compare the image with the device decision.
- Keep the overlay on while checking detections, then switch to **RAW** when you need to inspect the image without labels.
- Use range selection when a long session contains a continuous block of useful examples.
- Move or copy only the strongest examples so your follow-up dataset stays focused and useful.

## Read next

- [Validation](/docs/ai-vision/validation) - Return to the Validation tab overview and the session list workflow.
- [Video Review](/docs/data-sources/video-review) - Review validation clips when the issue is easier to confirm in motion.
- [AI-Pallet QA and Routing](/docs/data-sources/ai-pallet-qa-and-routing) - Learn how pallet QA fits into the larger workflow.
- [Datasets](/docs/ai-vision/datasets) - Continue with dataset preparation and organization.


Review pallet QA validation images, inspect device results, mark issues, and move useful images into dataset work.

Image Review


Use **Data Streaming** when the dashboard should show live values in a compact card instead of a full table or chart.

## Add the widget

1. Open a dashboard.
2. Click **Dashboard options** next to the time range.
3. Click **Add widget**.
4. Choose **Data Streaming**.

## Configure the widget

When the setup screen opens:

1. enter the widget name
2. select the data source or **AI Vision Device**
3. choose the primary metric
4. choose an optional secondary metric
5. adjust the display settings
6. save the widget

Depending on the setup, you can also control:

- labels
- formatting
- center alignment
- header visibility
- metric-based conditions

## When to use Data Streaming

Use **Data Streaming** when:

- users need live values at a glance
- one or two important metrics should stay visible at all times
- the dashboard should feel live without showing a full video feed

## Tips

- choose metrics that update meaningfully in real time
- keep the labels short
- pair this widget with **Streaming** when users need both live values and live visual context



Use the Data Streaming widget to show live values from an AI Vision Device or supported data source in a compact dashboard view.

Browse Guides

Validation

Before you start

How to use it

What you can do here

Review Vision video sessions

Review pallet QA snapshot sessions

Tips

Read next