Dataset Versions

v5

2024-09-27 2:12pm

Generated on Sep 27, 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 88%
1800Images
Valid Set 8%
171Images
Test Set 4%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Grayscale: Apply to 20% of images
Hue: Between -10° and +10°
Blur: Up to 2.5px
Noise: Up to 3.78% of pixels

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