Dataset Versions

v2

2024-10-05 4:23pm

Generated on Oct 5, 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.
Other Formats
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Dataset Split

Train Set 88%
3492Images
Valid Set 8%
324Images
Test Set 4%
168Images

Preprocessing

Tile: 2 rows x 6 columns

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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