Dataset Versions

Try Pre-Trained Model
Versions
2023-10-26 11-45am all train data
v27
·
a year ago
2023-10-14 12-22pm no bottles
v26
·
a year ago
2023-10-12 8:19pm
v25
·
a year ago
2023-10-03 8-07pm with bottles
v24
·
a year ago
2023-10-03 7-51pm without bottles
v23
·
a year ago
2023-09-17 1-46am without loco data
v22
·
a year ago
2023-09-17 1-30am with loco data
v21
·
a year ago
2023-09-12 1:50am
v20
·
a year ago
2023-09-11 12:28am
v19
·
a year ago
2023-09-08 10:22pm
v18
·
a year ago
2023-09-08 10:17pm
v17
·
a year ago
2023-08-19 1:24am
v16
·
a year ago
2023-08-18 2:23am
v15
·
a year ago
2023-08-18 2:19am
v14
·
a year ago
2023-08-16 1:06am
v13
·
a year ago
2023-08-15 12:42am
v12
·
a year ago
2023-08-13 10:57pm
v11
·
a year ago
2023-08-13 10:40pm
v10
·
a year ago
2023-08-09 12:05am
v9
·
a year ago
2023-08-07 12:39pm
v8
·
a year ago
2023-07-26 2:28pm
v7
·
a year ago
2023-07-26 12:57am
v6
·
a year ago
2023-07-24 7:11pm
v5
·
a year ago
2023-07-22 1:31am
v4
·
a year ago
2023-07-21 2:50pm
v2
·
a year ago
2023-07-18 10:41pm
v1
·
a year ago
v2

2023-07-21 2:50pm

Generated on Jul 21, 2023
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1224 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 88%
1071Images
Valid Set 8%
103Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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