Harvard University / Person Detection
Small subset of the Visual Wake Words dataset
Creating your first impulse (100% complete)
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
|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|
Data collected1,740 items
|License||No license attached|