Dataset Versions

Versions
2023-06-20 10:28am
v21
·
a year ago
2023-06-20 10:25am
v20
·
a year ago
2023-06-08 2:48pm
v19
·
a year ago
2023-06-07 11:03am
v18
·
a year ago
2023-05-17 3:47pm
v17
·
2 years ago
2023-05-16 4:31pm
v16
·
2 years ago
2023-04-07 5:38pm
v15
·
2 years ago
2023-04-03 11:52am
v14
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2 years ago
2023-03-30 2:48pm
v13
·
2 years ago
2023-03-29 6:58pm
v12
·
2 years ago
2023-03-23 2:48pm
v11
·
2 years ago
2023-03-23 2:11pm
v10
·
2 years ago
2023-03-22 2:22pm
v9
·
2 years ago
2023-03-03 4:02pm
v8
·
2 years ago
2023-03-03 9:57am
v7
·
2 years ago
2023-03-02 8:31pm
v6
·
2 years ago
2023-03-02 5:11pm
v5
·
2 years ago
2023-03-02 3:09pm
v4
·
2 years ago
2023-03-01 6:42pm
v3
·
2 years ago
2023-02-27 6:20pm
v2
·
2 years ago
2023-02-27 5:56pm
v1
·
2 years ago
v9

2023-03-22 2:22pm

Generated on Mar 22, 2023
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PaliGemma
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251 Total Images

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Dataset Split

Train Set 86%
216Images
Valid Set 8%
19Images
Test Set 6%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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