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
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5 months ago
2024-06-08 10:40pm
v1
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5 months ago
v27

2024-08-21 3:54am

Generated on Aug 21, 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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747 Total Images

View All Images
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 89%
664Images
Valid Set 11%
83Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Saturation: Between -70% and +70%
Brightness: Between -49% and +49%
Blur: Up to 2.8px

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