Dataset Versions

v3

2024-05-07 11:44pm

Generated on May 8, 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 87%
18135Images
Valid Set 8%
1755Images
Test Set 5%
1032Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between 0% and +30%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels

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