Dataset Versions

v2

2024-01-10 9:08pm

Generated on Jan 10, 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 90%
645Images
Valid Set 7%
51Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -41° and +41°
Brightness: Between -28% and +28%
Noise: Up to 1.92% of pixels

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