Dataset Versions

Versions
2022-09-12 2:26am
v29
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2 years ago
2022-09-12 2:25am
v28
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2 years ago
2022-09-12 1:31am
v27
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2 years ago
2022-09-11 1:53pm
v26
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2 years ago
2022-09-11 1:51pm
v25
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2 years ago
2022-09-11 1:49pm
v24
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2 years ago
2022-09-11 1:48pm
v23
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2 years ago
2022-09-11 1:35pm
v22
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2 years ago
2022-09-11 1:34pm
v21
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2 years ago
2022-09-11 1-32pm
v20
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2 years ago
2022-09-11 1:32pm
v19
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2 years ago
2022-09-11 1:32pm
v17
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2 years ago
2022-09-11 1:32pm
v16
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2 years ago
2022-09-11 1:32pm
v15
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2 years ago
2022-09-11 1:30pm
v14
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2 years ago
2022-09-11 1:28pm
v13
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2 years ago
2022-09-11 1:27pm
v12
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2 years ago
2022-09-11 10:31am
v10
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2 years ago
2022-09-11 12:33am
v9
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2 years ago
2022-09-10 11:26pm
v8
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2 years ago
2022-09-10 9:19pm
v7
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2 years ago
2022-09-06 2:27am
v6
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2 years ago
2022-09-06 2:24am
v5
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2 years ago
2022-09-05 9:00pm
v4
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2 years ago
v8

2022-09-10 11:26pm

Generated on Sep 10, 2022
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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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414 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 85%
352Images
Valid Set 10%
40Images
Test Set 5%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +20%

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