Dataset Versions

v1

2023-04-16 1:47am

Generated on Apr 16, 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 88%
17820Images
Valid Set 6%
1288Images
Test Set 6%
1216Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1536x1536
Tile: 2 rows x 2 columns
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -40% and +40%

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