Dataset Versions

v6

2024-05-21 9:16pm

Generated on May 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.
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Dataset Split

Train Set 91%
1062Images
Valid Set 5%
64Images
Test Set 4%
46Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -11° and +11°
Brightness: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 0.65% of pixels

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