Louis Moreau / Face detection - FOMO - Embedded Online Conference
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Maintenance window planned next Monday, 04/29 at 5:00AM UTC (more)
About this project
Face detection using FOMO
This project is using a subset of the FFHQ dataset.
The model has been trained on 96x96 greyscale images
Download block output
Title | Type | Size | |
---|---|---|---|
Image training data | NPY file | 314 windows | |
Image training labels | JSON file | 314 windows | |
Image testing data | NPY file | 88 windows | |
Image testing labels | JSON file | 88 windows | |
Object detection model (version #1) | TensorFlow Lite (float32) | 82 KB | |
Object detection model (version #1) | TensorFlow Lite (int8 quantized) | 56 KB | |
Object detection model (version #1) | TensorFlow SavedModel | 187 KB | |
Object detection model (version #1) | Keras h5 model | 88 KB | |
Object detection model (version #2) | TensorFlow Lite (float32) | 82 KB | |
Object detection model (version #2) | TensorFlow Lite (int8 quantized) | 56 KB | |
Object detection model (version #2) | TensorFlow SavedModel | 187 KB | |
Object detection model (version #2) | Keras h5 model | 88 KB | |
Object detection model (version #3) | TensorFlow Lite (float32) | 47 KB | |
Object detection model (version #3) | TensorFlow Lite (int8 quantized) | 40 KB | |
Object detection model (version #3) | TensorFlow SavedModel | 149 KB | |
Object detection model (version #3) | Keras h5 model | 51 KB |
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Summary
Data collected
406 itemsProject info
Project ID | 96468 |
Project version | 1 |
License | No license attached |