Filtering dataset for training/export — is it supported?

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#1

Question/Issue:
I need to export and train only on the labeled images in my dataset (Bee / Hornet / Wasp). Only filtered data?

Project ID:
798417
Context/Use case:
The goal of my project is to classify or detect different insects (Bees / Hornets / Wasps).
The dataset provided contains many frames, including unlabeled ones.
To improve training quality, I need to isolate only the labeled samples.
But Edge Impulse currently treats filters as visual-only, so I cannot export or train on only the labeled subset.
Steps Taken:

  1. [Step 1]
  2. [Step 2]
  3. [Step 3]

Expected Outcome:
[Describe what you expected to happen]

Actual Outcome:
[Describe what actually happened]

Reproducibility:

  • [ ] Always
  • [ ] Sometimes
  • [ ] Rarely

Environment:

  • Platform: [e.g., Raspberry Pi, nRF9160 DK, etc.]
  • Build Environment Details: [e.g., Arduino IDE 1.8.19 ESP32 Core for Arduino 2.0.4]
  • OS Version: [e.g., Ubuntu 20.04, Windows 10]
  • Edge Impulse Version (Firmware): [e.g., 1.2.3]
  • To find out Edge Impulse Version:
  • if you have pre-compiled firmware: run edge-impulse-run-impulse --raw and type AT+INFO. Look for Edge Impulse version in the output.
  • if you have a library deployment: inside the unarchived deployment, open model-parameters/model_metadata.h and look for EI_STUDIO_VERSION_MAJOR, EI_STUDIO_VERSION_MINOR, EI_STUDIO_VERSION_PATCH
  • Edge Impulse CLI Version: [e.g., 1.5.0]
  • Project Version: [e.g., 1.0.0]
  • Custom Blocks / Impulse Configuration: [Describe custom blocks used or impulse configuration]
    Logs/Attachments:
    [Include any logs or screenshots that may help in diagnosing the issue]

Additional Information:
[Any other information that might be relevant]

#2

In similar cases when I’ve wanted to exclude part of the data during training, without deleting it, I’ve disabled it in data acquisition. Click on the 3 dots at the right of a sample and choose Disable, or multi-select many samples and click the button Disable.

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