Dataset Versions

v4

2024-12-09 10:04pm

Generated on Dec 9, 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 87%
2611Images
Valid Set 8%
254Images
Test Set 4%
126Images

Preprocessing

Auto-Orient: Applied
Tile: 1 rows x 1 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.1% of pixels

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