smartnozzle

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modelmobil

Object Detection

modelmobil Image Dataset

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Versions
2023-09-06 6:04pm
v27
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10 months ago
2023-08-31 12:03am
v26
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10 months ago
2023-08-30 10:03pm
v24
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2023-08-29 9:15pm
v23
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2023-08-28 5:55pm
v22
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2023-08-27 8:34pm
v20
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10 months ago
2023-08-27 6:52pm
v19
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2023-08-26 8:05pm
v18
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2023-08-26 12:51pm
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2023-08-26 10:51am
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2023-08-26 12:47am
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2023-08-26 12:26am
v14
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10 months ago
2023-08-26 12:03am
v13
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2023-08-25 11:40pm
v12
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v11
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10 months ago
2023-08-25 11:23pm
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2023-08-25 11:11pm
v9
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10 months ago
2023-08-25 8:28pm
v8
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10 months ago
2023-08-25 8:17pm
v7
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10 months ago
2023-08-25 4:38pm
v5
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10 months ago
2023-08-25 1:26pm
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2023-08-24 12:52pm
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v2
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10 months ago
2023-08-24 12:37pm
v1
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10 months ago
v27

2023-09-06 6:04pm

Generated on Sep 6, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1256 Total Images

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Dataset Split

Train Set 87%
1095Images
Valid Set 8%
96Images
Test Set 5%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 26% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%