Dataset Versions

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2023-10-30 9:28am
v27
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a year ago
2023-10-27 9:34am
v26
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a year ago
2023-10-26 1:11pm
v25
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a year ago
2023-10-25 2:38pm
v24
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a year ago
2023-10-25 2:27pm
v23
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a year ago
2023-10-25 1:32pm
v22
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a year ago
2023-10-09 2:32pm
v21
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a year ago
2023-10-09 2:27pm
v20
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a year ago
2023-10-05 4:01pm
v19
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a year ago
2023-10-05 3:12pm
v18
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a year ago
2023-10-05 11:09am
v17
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a year ago
2023-10-05 7:49am
v16
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a year ago
2023-10-03 3:31pm
v11
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a year ago
2023-10-03 2:51pm
v10
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a year ago
2023-10-03 2:46pm
v9
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a year ago
2023-10-03 10:07am
v8
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a year ago
2023-09-29 4:23pm
v7
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a year ago
2023-09-29 4:17pm
v6
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a year ago
2023-09-29 8:23am
v4
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a year ago
2023-09-28 3:10pm
v2
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a year ago
v16

2023-10-05 7:49am

Generated on Oct 5, 2023
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513 Total Images

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Dataset Split

Train Set 81%
414Images
Valid Set 10%
50Images
Test Set 10%
49Images

Preprocessing

Isolate Objects: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Upside Down
Grayscale: Apply to 100% of images
Saturation: Between -60% and +60%
Exposure: Between -10% and +10%

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