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noodle_1000

Object Detection

noodle_1000 Image Dataset

v4

2024-06-17 10:37am

Generated on Jun 17, 2024

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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 92%
120Images
Valid Set 8%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 35% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 3.2px
Noise: Up to 1.96% of pixels
Cutout: 10 boxes with 12% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -7° and +7°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical