Demo Team / Hard hat detection - Public Project Public
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Neural Network settings

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Training settings

Please provide a valid training processor option
Number of training cycles should be a number
Learning rate should be a number

Augmentation settings

Advanced training settings

Neural network architecture

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Input layer (307,200 features)
MobileNetV2 SSD FPN-Lite 320x320
Output layer (2 classes)

Model

Model version:

Last training performance (validation set)

Precision score
37.8%

Data explorer (full training set)

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On-device performance

Engine:
EON™ Compiler TensorFlow Lite
Inferencing time
N/A
Peak RAM usage
0.0K
Flash usage
3.6M
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