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2024-10-18 6:31am
v28
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a month ago
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2024-10-14 5:09am
v25
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2024-10-12 6:13am
v24
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2024-10-12 3:15am
v23
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2024-10-11 2:30pm
v22
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2024-10-11 6:49am
v21
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2024-10-11 5:34am
v20
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2024-10-10 8:02am
v19
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2024-10-10 5:49am
v18
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2024-10-10 12:51am
v17
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2024-10-09 10:04am
v16
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2024-10-09 9:06am
v15
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2024-10-09 7:06am
v14
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2024-10-09 5:05am
v13
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a month ago
2024-10-08 8:58am
v12
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2 months ago
2024-10-08 5:26am
v11
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2 months ago
2024-10-07 5:12pm
v10
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2 months ago
2024-10-07 11:00am
v9
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2 months ago
2024-10-07 9:19am
v8
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2 months ago
2024-10-07 6:03am
v7
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2 months ago
2024-10-07 4:31am
v6
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2 months ago
2024-10-03 10:47am
v5
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2 months ago
2024-10-03 10:33am
v4
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2 months ago
2024-10-03 5:49am
v3
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2 months ago
2024-10-01 6:47am
v2
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2 months ago
2024-09-23 4:52am
v1
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2 months ago
v8

2024-10-07 9:19am

Generated on Oct 7, 2024
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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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712 Total Images

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Dataset Split

Train Set 83%
594Images
Valid Set 11%
78Images
Test Set 6%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical

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