Name should be alphanumeric characters only (a-z A-Z 0-9 - _ .)
Label should be alphanumeric characters only (a-z A-Z 0-9 - _ .)
Category
Count
Detailed result
Raw data
Start classification to load...
Raw features
...
Classification result
Image
No features generated yet
Processed features
...
...
Set window increase
For samples that are longer than the window length, a sliding window is used to classify the data multiple times.
This setting determines the increase of the sliding window in milliseconds, for each step.
This affects both live classification and model testing.
You can upload existing data to your project in the
Data Acquisition Format (CBOR, JSON, CSV),
or as WAV, JPG, PNG, AVI or MP4 files.
Bounding boxes: If you have existing bounding boxes for your images you need to upload these in
a bounding_boxes.labels file.
Select both your images and the labels file when uploading to apply the labels.
Select files
You have selected an info.labels file.
Labels and categories in this file will be used.
Upload into category
Label
You need to specify a label
Upload output
Click 'Upload data' to begin
Upload data - contact us
Please give us some information about the data you are trying to upload.
This field is required
This field is required
This field is required
Collect new data
Collect data directly from your phone, computer, device, or development board.
We're always looking for ways to improve Edge Impulse. If you have any feedback, please let us know!
This field is required
This field is required
Get in touch with sales
We'll work with you on your setup and help you get the most out of Edge Impulse.
This field is required
Almost there!
You'll need a free Edge Impulse
account to clone this project.
Creating an account lets you add your own data,
modify models, and join a community of thousands of
embedded machine learning developers!