Dataset Versions

v9

augmented 512x512

Generated on Feb 21, 2024

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.
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Dataset Split

Train Set 88%
4416Images
Valid Set 8%
420Images
Test Set 4%
208Images

Preprocessing

Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -21° and +21°
Hue: Between -10° and +10°
Saturation: Between -35% and +35%
Blur: Up to 2px
Noise: Up to 3.03% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px