Dataset Versions

v5

2024-07-13 11:02am

Generated on Jul 13, 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 93%
534Images
Valid Set 7%
41Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Filter Null: Require at least 11% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -13° and +13°
Saturation: Between -28% and +28%
Blur: Up to 3.3px
Noise: Up to 1.45% of pixels

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