Question/Issue:
[Describe the question or issue in detail]
Even after adding an external dataset my accuracy is below 40%
Project ID:
[Provide the project ID]
AS4065U-project-1
Context/Use case:
[Provide context or use case where the issue is encountered]
Steps Taken:
- [Step 1] Made my own dataset
- [Step 2] Downloaded an external dataset
- [Step 3] Added my recordings to the dataset downloaded
Expected Outcome:
[Describe what you expected to happen]
I would like my accuracy to be closer to 100%.
Actual Outcome:
[Describe what actually happened]
The accuracy is below 40% no matter the changes
Reproducibility:
- [X] Always
- [ ] Sometimes
- [ ] Rarely
Environment:
-
Platform: [e.g., Raspberry Pi, nRF9160 DK, etc.]
Arduino Nicla Voice -
Build Environment Details: [e.g., Arduino IDE 1.8.19 ESP32 Core for Arduino 2.0.4]
Arduino IDE -
OS Version: [e.g., Ubuntu 20.04, Windows 10]
Windows 11 Home -
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]
Dataset MLend_numbers