Dataset Versions

v1

2024-10-29 6:06pm

Generated on Oct 29, 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 63%
594Images
Valid Set 22%
210Images
Test Set 15%
144Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -21% and +21%
Noise: Up to 0.3% of pixels

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