Dataset Versions

v4

2024-07-05 5:19pm

Generated on Jul 5, 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 83%
3762Images
Valid Set 12%
545Images
Test Set 5%
220Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x540
Tile: 2 rows x 2 columns
Filter Null: Require at least 93% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Noise: Up to 1.41% of pixels
Cutout: 5 boxes with 9% size each

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