Demo Team / Hard hat detection - Public Project
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
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||453 windows|
|Image training labels||JSON file||453 windows|
|Image testing data||NPY file||130 windows|
|Image testing labels||JSON file||130 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|
Data collected583 items
|License||No license attached|