Dataset Versions

v3

3rd Revision -w- Null-

Generated on Jul 31, 2023

Popular Download Formats

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.
Other Formats
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Dataset Split

Train Set 88%
300Images
Valid Set 8%
28Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied