Dataset Versions

v22

BETA 016 640 x 480 imgsz640

Generated on Aug 8, 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 93%
3282Images
Valid Set 7%
240Images
Test Set 0%
10Images

Preprocessing

Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±4° Horizontal, ±1° Vertical
Saturation: Between -17% and +17%
Exposure: Between -10% and +10%

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