Dataset Versions

v1

2023-11-12 10:50pm

Generated on Nov 12, 2023

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 85%
1566Images
Valid Set 13%
234Images
Test Set 2%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x384
Tile: 3 rows x 3 columns
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Brightness: Between -11% and +11%
Noise: Up to 1% of pixels

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