Dataset Versions

v7

2024-06-21 9:29am

Generated on Jun 21, 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.
Other Formats
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Dataset Split

Train Set 80%
1020Images
Valid Set 13%
160Images
Test Set 8%
100Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 2.6px
Noise: Up to 1.92% of pixels

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