Dataset Versions

v4

2024-05-27 11:03pm

Generated on May 28, 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 82%
1654Images
Valid Set 9%
178Images
Test Set 9%
179Images

Preprocessing

Static Crop: 11-96% Horizontal Region, 37-100% Vertical Region
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 1.56% of pixels