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2023-09-04 6:38pm
v40
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a year ago
2023-08-28 5:34pm
v39
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a year ago
2023-08-28 12:07am
v38
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2023-08-28 12:06am
v37
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2023-08-27 11:20pm
v36
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2023-08-26 8:52am
v35
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2023-08-25 1:58pm
v34
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2023-08-25 1:42pm
v33
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a year ago
2023-08-19 9:44pm
v32
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a year ago
2023-08-19 5:33pm
v31
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a year ago
2023-08-19 5:02pm
v30
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2023-08-19 4:55pm
v29
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2023-08-19 4:44pm
v28
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a year ago
2023-08-19 9:44am
v27
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a year ago
2023-08-19 9:33am
v26
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a year ago
2023-08-19 8:02am
v25
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a year ago
2023-08-19 7:54am
v24
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2023-08-19 3:46am
v23
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a year ago
2023-08-15 11:42am
v22
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a year ago
2023-08-14 10:35pm
v21
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a year ago
2023-08-12 11:21pm
v20
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a year ago
2023-08-12 8:38pm
v19
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2023-08-12 8:34pm
v18
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a year ago
2023-08-11 10:40am
v17
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a year ago
2023-08-05 5:54pm
v16
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2023-08-05 5:22pm
v15
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a year ago
2023-08-05 4:47pm
v14
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a year ago
2023-08-05 11:35am
v13
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a year ago
Shear and Noise
v12
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a year ago
Box flip crop
v11
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a year ago
Rotate
v10
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a year ago
Flip and 90
v9
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a year ago
2023-08-05 7:17am
v8
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a year ago
2023-08-05 7:13am
v7
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a year ago
2023-08-05 5:02am
v6
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a year ago
2023-08-05 5:00am
v5
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a year ago
2023-08-05 2:42am
v4
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a year ago
2023-08-05 2:41am
v3
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a year ago
2023-08-05 2:10am
v2
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a year ago
2023-08-05 12:10am
v1
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a year ago
v31

2023-08-19 5:33pm

Generated on Aug 19, 2023
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13474 Total Images

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Dataset Split

Train Set 71%
9534Images
Valid Set 24%
3204Images
Test Set 5%
736Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 59-88% Horizontal Region, 20-82% Vertical Region

Augmentations

Outputs per training example: 3
Rotation: Between -28° and +28°
Grayscale: Apply to 84% of images
Hue: Between -134° and +134°
Saturation: Between -91% and +91%

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