Dataset Versions

v3

2022-08-23 3:11pm

Generated on Aug 23, 2022

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 75%
294Images
Valid Set 13%
50Images
Test Set 13%
50Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -35% and +35%
Blur: Up to 10px
Noise: Up to 15% of pixels
Cutout: 15 boxes with 10% size each

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