Dataset Versions

Versions
2021-10-25 7:42pm
v22
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3 years ago
2021-10-25 6:49pm
v21
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3 years ago
2021-10-19 8:20pm
v20
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3 years ago
2021-09-24 5:18pm
v19
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3 years ago
2021-09-24 4:45pm
v18
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3 years ago
2021-09-15 7:25pm
v17
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3 years ago
2021-09-15 12:37pm
v16
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3 years ago
2021-09-14 4:24pm
v15
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3 years ago
2021-09-13 6:14 pm
v14
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3 years ago
2021-09-08 7:07pm
v13
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3 years ago
2021-09-08 7:07pm
v12
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3 years ago
2021-09-08 7:07pm
v11
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3 years ago
2021-09-08 7:02pm
v10
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3 years ago
2021-09-08 7:00pm
v9
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3 years ago
2021-09-08 7:00pm
v8
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3 years ago
2021-09-08 7:00pm
v7
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3 years ago
2021-09-08 7:00pm
v6
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3 years ago
2021-09-08 7:00pm
v5
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3 years ago
2021-09-08 7:00pm
v4
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3 years ago
2021-09-08 7:00pm
v3
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3 years ago
2021-09-08 7:00pm
v2
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3 years ago
2021-09-08 7:00pm
v1
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3 years ago
v11

2021-09-08 7:07pm

Generated on Sep 8, 2021
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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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661 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 95%
631Images
Valid Set %
0Images
Test Set 5%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Bounding Box: Flip: Horizontal

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