Dataset Versions

v4

2023-09-26 5:35pm

Generated on Sep 26, 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 88%
4200Images
Valid Set 8%
400Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Grayscale: Apply to 50% of images
Hue: Between -95° and +95°
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 5% of pixels

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