Dataset Versions

Versions
2024-05-29 12:10pm
v21
·
6 months ago
2024-05-27 2:57pm
v20
·
6 months ago
2024-05-27 2:29pm
v19
·
6 months ago
2024-05-27 1:50pm
v18
·
6 months ago
2024-05-27 1:39pm
v17
·
6 months ago
2024-05-27 11:52am
v16
·
6 months ago
2024-05-27 11:11am
v15
·
6 months ago
2024-05-27 1:16am
v14
·
6 months ago
2024-05-23 6:35pm
v13
·
6 months ago
2024-05-22 2:54pm
v12
·
6 months ago
2024-05-22 12:54pm
v11
·
6 months ago
2024-05-22 12-39pm not version
v10
·
6 months ago
2024-05-22 12-20pm not version
v9
·
6 months ago
2024-05-22 11-48am not version
v8
·
6 months ago
2024-05-22 11-23am yes
v7
·
6 months ago
2024-05-21 3:32pm
v6
·
6 months ago
2024-05-21 2-54pm yes test haval
v5
·
6 months ago
2024-05-21 1-27pm not version
v4
·
6 months ago
2024-05-20 5-35pm not version
v3
·
6 months ago
2024-05-12 3-20pm True best.pt
v2
·
7 months ago
2024-05-09 10-25pm not version
v1
·
7 months ago
v8

2024-05-22 11-48am not version

Generated on May 22, 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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1372 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 97%
1326Images
Valid Set 3%
46Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Blur: Up to 1px
Noise: Up to 3.82% of pixels
Cutout: 8 boxes with 15% size each

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