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2024-10-18 9:50am
v27
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a month ago
2024-09-11 8:03am
v26
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2 months ago
2024-04-14 3:44pm
v25
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7 months ago
2023-08-12 8:49am
v24
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a year ago
2023-06-12 11:13am
v23
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a year ago
2023-06-12 10:43am
v22
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a year ago
2023-06-08 10:31am
v21
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a year ago
2023-06-08 10:22am
v20
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a year ago
2023-06-07 12:04pm
v19
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a year ago
2023-06-06 10:49am
v18
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a year ago
2023-06-06 10:48am
v17
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a year ago
2023-05-21 8:04pm
v16
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a year ago
2023-05-20 12:59pm
v15
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a year ago
2023-05-19 2:41pm
v14
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a year ago
2023-05-19 1:55pm
v13
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a year ago
2023-05-19 1:46pm
v12
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a year ago
2023-05-19 10:46am
v11
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a year ago
2023-05-19 10:41am
v10
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a year ago
2023-05-19 10:35am
v9
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a year ago
2023-05-19 10:28am
v8
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a year ago
2023-05-19 10:16am
v7
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a year ago
2023-05-18 9:08pm
v6
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a year ago
2023-05-18 8:46pm
v5
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a year ago
2023-05-18 3:12pm
v4
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a year ago
2023-05-18 2:58pm
v3
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a year ago
2023-05-18 12:48pm
v2
·
a year ago
2023-05-18 11:34am
v1
·
a year ago
v22

2023-06-12 10:43am

Generated on Jun 12, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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375 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 87%
327Images
Valid Set 7%
27Images
Test Set 6%
21Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%

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