Dataset Versions

v11

2024-03-22 2:55am

Generated on Mar 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%
4524Images
Valid Set 8%
436Images
Test Set 4%
192Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1500x1500
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Noise: Up to 1.53% of pixels

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