Dataset Versions

Versions
2023-04-06 1:08pm
v26
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2 years ago
2023-04-06 11:41am
v25
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2 years ago
2023-04-06 11:28am
v24
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2 years ago
2023-04-06 10:35am
v23
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2 years ago
2023-03-18 9:14pm
v22
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2 years ago
2023-03-18 8:34pm
v21
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2 years ago
2023-03-18 7:31pm
v20
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2 years ago
2023-03-18 7:25pm
v19
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2 years ago
2023-03-18 11:59am
v18
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2 years ago
WHEEL-FINAL
v17
·
2 years ago
2023-03-16 7:34pm
v16
·
2 years ago
2023-03-16 7:25pm
v15
·
2 years ago
2023-03-16 5:11pm
v14
·
2 years ago
2023-03-16 11:46am
v13
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2 years ago
2023-03-16 11:14am
v12
·
2 years ago
2023-03-16 11:02am
v11
·
2 years ago
ADAPTIVE THRESHOLDING
v10
·
2 years ago
2023-03-16 10:23am
v9
·
2 years ago
2023-03-16 9:18am
v8
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2 years ago
2023-03-16 8:55am
v7
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2 years ago
2023-03-16 8:39am
v6
·
2 years ago
2 CLASS V2
v5
·
2 years ago
1 CLASS
v4
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2 years ago
2 CLASS
v3
·
2 years ago
2023-03-15 10:19am
v2
·
2 years ago
2023-03-15 8:48am
v1
·
2 years ago
v26

2023-04-06 1:08pm

Generated on Apr 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.
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153 Total Images

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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 93%
142Images
Valid Set 4%
6Images
Test Set 3%
5Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise

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