Dataset Versions

v4

2024-07-11 5:47pm

Generated on Jul 11, 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.
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Dataset Split

Train Set 87%
6475Images
Valid Set 9%
647Images
Test Set 4%
295Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.79% of pixels
Mosaic: Applied
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

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