DOCS-2644: Address Alyssa's feedback

docs/use-cases/image-data.md

@@ -25,7 +25,7 @@ From there, you can use your image data to do things like [train ML models](/use
 
 {{< /alert >}}
 
-In the next how-to guide you can use the images you collect here to [train computer vision models](/use-cases/deploy-ml/).
+If you'd like to follow a more detailed tutorial, see [Selectively Capture Data Using filtered-camera](/tutorials/projects/filtered-camera/).
 
 ## Prerequisites
 
@@ -42,7 +42,8 @@ In the next how-to guide you can use the images you collect here to [train compu
 {{<imgproc src="/icons/components/camera.svg" class="fill alignleft" style="max-width: 150px" declaredimensions=true alt="configure a camera component">}}
 **1. Configure a camera**
 
-Configure a camera component, such as a [webcam](/components/camera/webcam/), on your machine.
+On your [machine's page](#prerequisites), configure any camera component.
+If you are nor sure what to use, start with a [webcam](/components/camera/webcam/).
 
 {{% /tablestep %}}
 {{% tablestep link="/services/data/"%}}
@@ -69,18 +70,28 @@ For example, set it to `0.05` to capture an image every 20 seconds.
 
 Set the MIME type to your desired image format, for example `image/jpeg`.
 
+**Click save to start capturing data.**
+
 {{% /tablestep %}}
 {{% tablestep %}}
 {{<imgproc src="/services/ml/collect.svg" class="fill alignleft" style="max-width: 150px"  declaredimensions=true alt="Train models">}}
 **4. View data in the Viam app**
 
+{{< alert title="Wait until data appears" color="note" >}}
+Your data will sync at the specified sync interval, which may mean you have to wait for data to appear.
+
+If no data appears after the sync interval, check the [**Logs**](/cloud/machines/#logs).
+{{< /alert >}}
+
 Once you have synced images, you can [view those images in the Viam app](/services/data/view/) from the **DATA** tab in the top navigation bar.
 
 You can also [export your data from the Viam app](/services/data/export/) to a deployed machine, or to any computer.
 
 {{% /tablestep %}}
 {{< /table >}}
 
+If this is not a production machine and you have confirmed that your machine is capturing and syncing data, disable data capture in the camera configuration to avoid capturing large amounts of unneeded data.
+
 ## Use filtering to collect and sync only certain images
 
 You can use filtering to selectively capture images using a machine learning (ML) model, for example to only capture images with people in them.
@@ -95,7 +106,8 @@ The following steps use the [`filtered_camera`](https://github.com/erh/filtered_
 
 Configure an ML model service on your machine that is compatible with the ML model you want to use, for example [TFLite CPU](/services/ml/deploy/tflite_cpu/).
 
-From the **Model** dropdown, select the preexisting model you want to use, or click **Add new model** to upload your own.
+From the **Model** dropdown, select an [existing model](https://app.viam.com/registry?type=ML+Model) you want to use, or click **Add new model** to upload your own.
+If you're not sure which model to add, you can add [`EfficientNet-ImageNet2012`](https://app.viam.com/ml-model/viam/EfficientNet-ImageNet2012) which can detect people and animals, among other things.
 
 {{% /tablestep %}}
 {{% tablestep link="/services/vision/"%}}
@@ -114,22 +126,37 @@ From the **Select model** dropdown, select the name of your ML model service (fo
 
 The `filtered-camera` {{< glossary_tooltip term_id="modular-resource" text="modular component" >}} pulls the stream of images from the camera you configured earlier, and applies the vision service to it.
 
-Configure a `filtered-camera` component on your machine, following the [attribute guide in the README](https://github.com/erh/filtered_camera?tab=readme-ov-file#configure-your-filtered-camera) to specify the names of your webcam and vision service, and add classification and object detection filters.
+Configure a `filtered-camera` component on your machine, following the [attribute guide in the README](https://github.com/erh/filtered_camera?tab=readme-ov-file#configure-your-filtered-camera) to specify the names of your camera and vision service, and add classification and object detection filters.
 
 {{% /tablestep %}}
 {{% tablestep %}}
 {{<imgproc src="/services/icons/data-capture.svg" class="fill alignleft" style="max-width: 150px"  declaredimensions=true alt="Train models">}}
 **4. Configure data capture and sync on the filtered camera**
 
-Configure data capture and sync just as you would for a webcam.
+Configure data capture and sync just as you did before.
 The filtered camera will only capture image data that passes the filters you configured in the previous step.
 
-Turn off data capture on your webcam if you haven't already, so that you don't capture duplicate or unfiltered images.
+Turn off data capture on your camera if you haven't already, so that you don't capture duplicate or unfiltered images.
+
+{{% /tablestep %}}
+{{% tablestep %}}
+
+{{<imgproc src="/services/ml/collect.svg" class="fill alignleft" style="max-width: 150px"  declaredimensions=true alt="Train models">}}
+**5. View filtered data in the Viam app**
+
+Once you save your configuration, your filtered images will sync and you can [view those images in the Viam app](/services/data/view/) from the **DATA** tab.
+
+{{< alert title="Wait until data appears" color="note" >}}
+Your data will sync at the specified sync interval, which may mean you have to wait for data to appear.
+
+If no data appears after the sync interval, check the [**Logs**](/cloud/machines/#logs) and ensure that the condition for filtering is met.
+You can add a [`transform` camera](/components/camera/transform/) to see detections or classifications live from the [**CONTROL** tab](/cloud/machines/#control).
+{{< /alert >}}
 
 {{% /tablestep %}}
 {{% tablestep %}}
 {{<imgproc src="/services/ml/configure.svg" class="fill alignleft" style="max-width: 150px"  declaredimensions=true alt="Train models">}}
-**5. (Optional) Trigger sync with custom logic**
+**6. (Optional) Trigger sync with custom logic**
 
 By default, the captured data syncs at the regular interval you specified in the data capture config.
 If you need to trigger sync in a different way, see [Trigger cloud sync conditionally](/services/data/trigger-sync/) for a documented example of syncing data only at certain times of day.