Dataset Versions

Versions
2024-08-06 7:02am
v23
·
5 months ago
2024-07-09 6:42am
v22
·
5 months ago
2024-06-25 8:40am
v21
·
6 months ago
2024-06-21 8:11am
v20
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6 months ago
2024-06-20 2:37pm
v19
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6 months ago
2024-06-19 4:55pm
v18
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6 months ago
2024-06-18 12:56pm
v17
·
6 months ago
2024-06-17 11:49am
v16
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6 months ago
2024-06-14 2:42pm
v15
·
6 months ago
2024-06-14 2:26pm
v14
·
6 months ago
2024-06-12 12:45pm
v13
·
6 months ago
2024-05-30 3:15pm
v11
·
7 months ago
2024-05-24 9:41am
v10
·
7 months ago
2024-05-21 11:41am
v9
·
7 months ago
2024-05-21 10:46am
v8
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7 months ago
2024-05-17 5:10pm
v7
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7 months ago
2024-05-17 2:16pm
v6
·
7 months ago
2024-05-16 12:04pm
v5
·
7 months ago
2024-05-15 5:52pm
v4
·
7 months ago
2024-05-06 7:10pm
v3
·
8 months ago
2024-04-25 2:21pm
v2
·
8 months ago
2024-04-24 7:05pm
v1
·
8 months ago
v13

2024-06-12 12:45pm

Generated on Jun 12, 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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561 Total Images

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Dataset Split

Train Set 89%
498Images
Valid Set 11%
62Images
Test Set 0%
1Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Noise: Up to 1.88% of pixels

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