Dataset Versions

v15

2022-10-04 3:59pm

Generated on Oct 4, 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.
Other Formats
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Dataset Split

Train Set 91%
2790Images
Valid Set 6%
198Images
Test Set 2%
76Images

Preprocessing

Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -35% and +0%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 11% size each
Bounding Box: Exposure: Between -11% and +11%
Bounding Box: Blur: Up to 1.25px

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