Dataset Versions

v3

2023-11-14 9:06pm

Generated on Nov 14, 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%
696Images
Valid Set 13%
104Images
Test Set 2%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x384
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Brightness: Between -11% and +11%
Noise: Up to 2% of pixels

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