Dataset Versions

v3

2023-11-26 1:20am

Generated on Nov 25, 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%
1692Images
Valid Set 8%
161Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -72° and +72°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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