Dataset Versions

v1

2024-12-04 8:37pm

Generated on Dec 4, 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 91%
507Images
Valid Set 4%
24Images
Test Set 5%
29Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±45° Horizontal, ±30° Vertical
Saturation: Between -68% and +68%
Noise: Up to 3.39% of pixels
Bounding Box: Flip: Horizontal

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