Edge Impulse Inc. / Visual Regression - Blog Post

Estimate the mass of the subject of an image.

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 1641 windows
Image training labels NPY file 1641 windows
Image testing data NPY file 409 windows
Image testing labels NPY file 409 windows
Regression model TensorFlow Lite (float32) 124 KB
Regression model TensorFlow Lite (int8 quantized) 35 KB
Regression model TensorFlow Lite (int8 quantized with float32 input and output) 36 KB
Regression model TensorFlow SavedModel 127 KB


Data collected
2,050 items

Project info

Project ID 40106
Project version 1