Evan / lug-nut-counter Public

Evan / lug-nut-counter

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Object detection

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.


Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Image training data NPY file 145 windows
Image training labels JSON file 145 windows
Image testing data NPY file 27 windows
Image testing labels JSON file 27 windows
Object detection model TensorFlow Lite (float32) 11 MB
Object detection model TensorFlow Lite (int8 quantized) 4 MB
Object detection model TensorFlow Lite (int8 quantized with float32 input and output) 4 MB
Object detection model TensorFlow SavedModel 10 MB

Clone project

You are viewing a public Edge Impulse project. Clone this project to add data or make changes.


Data collected
172 items

Project info

Project ID 33006
Project version 4
License No license attached