EGH450 ITA

Group_9_V1

Object Detection

Group_9_V1 Image Dataset

v2

Flight Test 1 Model v1

Generated on Aug 10, 2022

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
480Images
Valid Set 8%
44Images
Test Set 5%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -20% and +20%
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