ARADS 9x600

ARADS 9x600

Object Detection

ARADS 9x600 Image Dataset

v3

2023-06-22 7:39pm

Generated on Jun 22, 2023

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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.
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Dataset Split

Train Set 88%
18834Images
Valid Set 6%
1341Images
Test Set 6%
1341Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 3% of pixels