Dataset Versions

v1

2024-12-17 11:43am

Generated on Dec 17, 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 93%
24105Images
Valid Set 7%
1759Images
Test Set 0%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 22% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 1.46% of pixels

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