MJRoBot (Marcelo Rovai) / Raspi - Object Detection Public
Target: Raspberry Pi 4 Clone this project

Neural Network settings

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Training settings

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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
88.8%

Metrics (validation set)

Metric Value
mAP 0.59
mAP@[IoU=50] 0.94
mAP@[IoU=75] 0.72
mAP@[area=small] -1.00
mAP@[area=medium] 0.61
mAP@[area=large] 0.58
Recall@[max_detections=1] 0.25
Recall@[max_detections=10] 0.70
Recall@[max_detections=100] 0.70
Recall@[area=small] -1.00
Recall@[area=medium] 0.70
Recall@[area=large] 0.70

Data explorer (full training set)

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On-device performance

Engine:
EON™ Compiler TensorFlow Lite
Inferencing time
463 ms.
Flash usage
11.0M
This model won't run on MCUs. Calculated arena size is >6MB
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