Dataset Versions

v2

2024-10-06 5:42pm

Generated on Oct 6, 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%
2241Images
Valid Set 8%
216Images
Test Set 4%
99Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels

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