Dataset Versions

v2

2024-12-17 1:55pm

Generated on Dec 17, 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 93%
7985Images
Valid Set 6%
484Images
Test Set 2%
143Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.3% of pixels

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