Dataset Versions

v6

Definitivo_373

Generated on Jan 30, 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 89%
756Images
Valid Set 6%
54Images
Test Set 4%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Tile: 6 rows x 3 columns
Filter Null: Require at least 66% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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