Dataset Versions

Versions
2024-10-21 4:59pm
v26
·
a month ago
2024-10-02 1:13pm
v25
·
2 months ago
2024-10-02 8:25am
v24
·
2 months ago
2024-04-29 4:37pm
v23
·
7 months ago
2024-04-25 10:53am
v22
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7 months ago
2024-04-24 11:12am
v21
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7 months ago
2024-04-24 9:36am
v20
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7 months ago
2024-04-15 4:05pm
v19
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7 months ago
2024-04-15 4:04pm
v18
·
7 months ago
2024-04-15 2:11pm
v17
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7 months ago
2024-04-15 2:09pm
v16
·
7 months ago
2024-04-15 2:06pm
v15
·
7 months ago
2024-04-15 12:05pm
v14
·
7 months ago
2024-04-15 11:47am
v13
·
7 months ago
2024-04-15 11:46am
v12
·
7 months ago
2024-04-05 9:22am
v11
·
8 months ago
2024-04-04 2:13pm
v10
·
8 months ago
2024-04-01 3:58pm
v9
·
8 months ago
2024-03-13 10:21am
v8
·
8 months ago
2024-03-12 1:16pm
v7
·
8 months ago
2024-03-01 11:25am
v6
·
9 months ago
2024-02-29 5:11pm
v5
·
9 months ago
2024-02-29 9:07am
v4
·
9 months ago
2024-02-27 5:56pm
v3
·
9 months ago
2024-02-27 5:18pm
v2
·
9 months ago
2024-02-27 2:27pm
v1
·
9 months ago
v9

2024-04-01 3:58pm

Generated on Apr 1, 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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351 Total Images

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Dataset Split

Train Set 87%
306Images
Valid Set 9%
32Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 0.54% of pixels

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