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2023-07-13 2:46pm
v44
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a year ago
2023-07-13 2:45pm
v43
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a year ago
2023-07-08 1:39pm
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a year ago
uannotated
v41
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2023-07-05 8:46pm
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2023-07-05 8:42pm
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2023-07-05 8:37pm
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2023-07-05 8:32pm
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2023-07-05 8:28pm
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2023-07-05 8:20pm
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2023-07-05 8:18pm
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2023-07-05 8:03pm
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2023-07-05 7:59pm
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2023-07-05 7:11pm
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2023-07-05 6:41pm
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2023-07-05 6:18pm
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2023-07-05 5:51pm
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2023-07-05 5:40pm
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2023-07-05 3:02pm
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2023-07-05 2:58pm
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2023-07-05 2:57pm
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2023-07-05 2:54pm
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2023-07-05 1:14pm
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2023-07-05 12:01pm
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2023-07-05 11:45am
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2023-07-05 11:44am
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2023-07-05 11:42am
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2023-07-05 11:41am
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2023-07-05 11:39am
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2023-07-05 11:36am
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2023-07-05 11:29am
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2023-07-05 11:15am
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2023-07-04 8:28pm
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2023-07-04 7:59pm
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2023-07-04 7:53pm
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2023-07-04 7:52pm
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2023-07-04 7:52pm
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2023-07-04 7:52pm
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2023-07-04 7:52pm
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2023-07-04 7:50pm
v2
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a year ago
2023-07-04 7:43pm
v1
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a year ago
v22

2023-07-05 2:58pm

Generated on Jul 5, 2023
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PaliGemma
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178 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 91%
162Images
Valid Set 9%
16Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 63% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -26% and +0%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 6% size each
Bounding Box: Flip: Horizontal, Vertical

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