Dataset Versions

Versions
2022-11-29 8:01pm
v38
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2 years ago
2022-11-29 7:54pm
v36
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2 years ago
2022-11-29 7:52pm
v35
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2 years ago
2022-11-29 7:51pm
v34
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2 years ago
2022-11-29 7:50pm
v33
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2 years ago
2022-11-29 7:47pm
v31
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2 years ago
2022-11-29 7:46pm
v30
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2 years ago
2022-11-29 7:45pm
v29
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2 years ago
2022-11-29 7:43pm
v28
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2 years ago
2022-11-29 7:42pm
v27
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2 years ago
2022-11-29 7:41pm
v26
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2 years ago
2022-11-29 7:39pm
v25
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2 years ago
2022-11-28 1:18pm
v24
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2 years ago
2022-11-28 1:17pm
v23
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2 years ago
2022-11-28 1:16pm
v22
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2 years ago
2022-11-28 1:16pm
v21
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2 years ago
2022-11-28 1:08pm
v20
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2 years ago
2022-11-28 1:08pm
v19
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2 years ago
2022-11-28 12:59pm
v18
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2 years ago
2022-11-28 12:57pm
v17
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2 years ago
2022-11-28 12:56pm
v16
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2 years ago
2022-11-28 12:56pm
v15
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2 years ago
2022-11-28 12:54pm
v14
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2 years ago
2022-11-28 12:53pm
v13
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2 years ago
v38

2022-11-29 8:01pm

Generated on Nov 29, 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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192 Total Images

View All Images
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 100%
192Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Noise: Up to 7% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -14° and +14°

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