Dataset Versions

Versions
2024-03-18 12:53am
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8 months ago
2024-03-18 12:47am
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2024-03-17 11:56pm
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2024-03-17 11:49pm
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2024-03-14 4:05pm
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2024-03-14 3:42pm
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2024-03-14 12:40pm
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2024-03-14 11:57am
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2024-03-14 11:53am
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2024-03-14 12:58am
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2024-03-14 12:50am
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2024-03-14 12:45am
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2024-03-14 12:40am
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2024-03-14 12:39am
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2024-03-14 12:10am
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2024-03-14 12:00am
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2024-03-13 11:52pm
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2024-03-13 11:48pm
v12
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2024-03-13 11:43pm
v11
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9 months ago
2024-03-13 11:36pm
v10
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2024-03-13 11:31pm
v9
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2024-03-13 11:22pm
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2024-03-13 11:15pm
v7
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2024-03-13 11:10pm
v6
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2024-03-13 11:02pm
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2024-03-13 11:01pm
v4
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9 months ago
2024-03-13 8:32pm
v3
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9 months ago
2024-03-13 8:22pm
v2
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9 months ago
2024-03-13 8:11pm
v1
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9 months ago
v51

2024-03-14 4:05pm

Generated on Mar 14, 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.
Other Formats
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Dataset Split

Train Set 98%
126Images
Valid Set 1%
1Images
Test Set 1%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 32-82% Horizontal Region, 0-100% Vertical Region
Dynamic Crop: Class: Chai Nuoc
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -15° and +15°

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