Dataset Versions

v4

2023-09-21 3:04pm

Generated on Sep 21, 2023

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 87%
222Images
Valid Set 9%
22Images
Test Set 4%
11Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±32° Horizontal, ±24° Vertical
Grayscale: Apply to 6% of images
Noise: Up to 2% of pixels

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