Dataset Versions

v2

yolo_darknet_batch3

Generated on Oct 13, 2021

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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%
13233Images
Valid Set 8%
1260Images
Test Set 4%
630Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Bounding Box: Crop: 20% Minimum Zoom, 50% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 12% of pixels