Dataset Versions

Versions
2022-09-24 2:50pm
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2022-09-24 2:37pm
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2022-09-20 8:03pm
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2022-09-20 8:00pm
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2022-09-20 7:59pm
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2022-09-20 7:58pm
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2022-09-20 5:04pm
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2022-09-20 4:49pm
v2
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2022-09-20 4:49pm
v1
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2 years ago
v19

2022-09-24 11:43am

Generated on Sep 24, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels