Dataset Versions

Versions
2024-08-21 3:54am
v27
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3 months ago
2024-08-20 5:10am
v26
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3 months ago
2024-08-20 5:10am
v25
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3 months ago
2024-08-20 4:46am
v24
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3 months ago
2024-08-20 4:27am
v23
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3 months ago
2024-08-20 4:13am
v22
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3 months ago
2024-08-20 4:12am
v21
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3 months ago
2024-08-20 4:08am
v20
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3 months ago
2024-08-20 4:07am
v19
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3 months ago
2024-08-20 4:03am
v18
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3 months ago
2024-08-20 4:00am
v17
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3 months ago
2024-08-20 3:44am
v16
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3 months ago
2024-08-19 7:19am
v15
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3 months ago
2024-06-29 4:46pm
v14
·
5 months ago
2024-06-29 3:45pm
v13
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5 months ago
2024-06-26 6:44pm
v12
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5 months ago
2024-06-26 6:12pm
v11
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5 months ago
2024-06-26 6:12pm
v10
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5 months ago
2024-06-26 6:11pm
v9
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5 months ago
2024-06-26 4:11pm
v8
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5 months ago
2024-06-26 2:39pm
v7
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5 months ago
2024-06-09 1:50am
v6
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5 months ago
2024-06-09 1:45am
v5
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5 months ago
2024-06-08 10:47pm
v4
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5 months ago
2024-06-08 10:45pm
v3
·
5 months ago
2024-06-08 10:40pm
v1
·
5 months ago
v3

2024-06-08 10:45pm

Generated on Jun 8, 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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272 Total Images

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Dataset Split

Train Set 88%
238Images
Valid Set 13%
34Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%

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