Dataset Versions

v7

2022-10-09 3:11am

Generated on Oct 9, 2022

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 89%
2856Images
Valid Set 7%
222Images
Test Set 4%
121Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 1280x720
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Noise: Up to 3% of pixels

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