MDP_new Dataset

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2023-07-16 1:28am
v5
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a year ago
2023-07-16 1:01am
v4
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2023-07-15 10:21pm
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2023-07-15 10:05pm
v2
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a year ago
2023-07-15 8:28pm
v1
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a year ago
v5

2023-07-16 1:28am

Generated on Jul 15, 2023
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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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3008 Total Images

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Dataset Split

Train Set 86%
2592Images
Valid Set 7%
208Images
Test Set 7%
208Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 2% of pixels