Dataset Versions

v6

2024-04-24 10:55pm

Generated on Apr 24, 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 89%
6539Images
Valid Set 6%
436Images
Test Set 5%
401Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Tile: 3 rows x 3 columns
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -11° and +11°
Blur: Up to 3.9px
Bounding Box: Shear: ±8° Horizontal, ±8° Vertical