Dataset Versions

Versions
2024-11-25 5:13pm
v17
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5 days ago
2024-11-25 5:10pm
v16
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5 days ago
2024-11-25 11:34am
v15
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5 days ago
2024-11-22 8:50am
v14
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8 days ago
2024-11-22 8:40am
v13
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8 days ago
2024-11-18 11:24am
v12
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12 days ago
2024-11-18 11:02am
v11
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12 days ago
2024-11-18 9:24am
v10
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12 days ago
2024-11-14 3:22pm
v9
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16 days ago
2024-11-13 6:06am
v8
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17 days ago
2024-11-07 3:17pm
v7
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23 days ago
2024-11-06 1:08pm
v6
·
24 days ago
2024-11-02 7:18pm
v5
·
a month ago
2024-11-02 7:18pm
v4
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a month ago
2024-10-28 5:12pm
v3
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a month ago
2024-10-26 6:54pm
v2
·
a month ago
2024-10-26 1:25pm
v1
·
a month ago
v9

2024-11-14 3:22pm

Generated on Nov 14, 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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216 Total Images

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Dataset Split

Train Set 92%
198Images
Valid Set 6%
14Images
Test Set 2%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Noise: Up to 2.04% of pixels

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