Harvard University / Person Detection Public
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Harvard University / Person Detection

Small subset of the Visual Wake Words dataset

Images

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.

Let's collect some data

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.

Getting started: Continuous motion recognition
Getting started: Responding to your voice
Getting started: Adding sight to your sensors

Deploy

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.

Deploy your model

Download block output

Title Type Size
Image training data NPY file 1399 windows
Image training labels NPY file 1399 windows
Image testing data NPY file 341 windows
Image testing labels NPY file 341 windows
Transfer learning model TensorFlow Lite (float32) 854 KB
Transfer learning model TensorFlow Lite (int8 quantized) 333 KB
Transfer learning model TensorFlow Lite (int8 quantized with float32 input and output) 334 KB
Transfer learning model TensorFlow SavedModel 968 KB

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Summary

Data collected
1,740 items

Project info

Project ID 37001
Project version 2
License No license attached