Dataset Versions

Versions
2024-08-17 6:08am
v28
·
3 months ago
2024-05-31 4:43pm
v27
·
6 months ago
2024-05-30 6:45pm
v26
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6 months ago
2024-05-30 3:02pm
v25
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6 months ago
2024-05-30 2:20pm
v24
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6 months ago
2024-05-29 2:56pm
v23
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6 months ago
2024-05-29 11:35am
v22
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6 months ago
2024-05-27 6:11pm
v21
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6 months ago
2024-05-27 11:01am
v20
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6 months ago
2024-05-24 6:44pm
v19
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6 months ago
2024-05-23 1:34pm
v18
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6 months ago
2024-05-22 7:01pm
v17
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6 months ago
2024-05-22 6:32pm
v16
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6 months ago
2024-05-20 4:55pm
v14
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6 months ago
2024-05-20 12:14pm
v13
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6 months ago
2024-05-15 11:34am
v12
·
6 months ago
raw to label studio seg
v10
·
7 months ago
2024-04-26 3:59pm
v9
·
7 months ago
2024-04-25 6:43pm
v8
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7 months ago
2024-04-15 6:23pm
v7
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7 months ago
2024-04-15 5:17pm
v6
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7 months ago
320x320
v5
·
8 months ago
2024-03-27 4:42pm
v4
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8 months ago
2024-03-27 4:02pm
v3
·
8 months ago
Augmented-640x640
v2
·
8 months ago
Raw
v1
·
8 months ago
v19

2024-05-24 6:44pm

Generated on May 24, 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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644 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 65%
419Images
Valid Set 19%
120Images
Test Set 16%
105Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°

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