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2024-12-02 11:10pm
v25
·
17 days ago
2021-09-21 4-43pm
v24
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3 months ago
2024-09-21 2:09pm
v23
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3 months ago
2024-09-21 2:05pm
v22
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3 months ago
2024-09-21 2:00pm
v21
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3 months ago
2024-09-21 7:15am
v15
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3 months ago
2024-09-21 4:51am
v14
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3 months ago
2024-08-15 6:20am
v12
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4 months ago
2024-05-16 12:25pm
v11
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7 months ago
2024-05-12 7:11pm
v10
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7 months ago
2024-05-07 6:38pm
v9
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7 months ago
2024-05-03 5:12pm
v7
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8 months ago
2024-05-02 5:41pm
v6
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8 months ago
2024-04-30 11:41am
v3
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8 months ago
2024-04-29 11:43am
v2
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8 months ago
2024-04-29 11:20am
v1
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8 months ago
v21

2024-09-21 2:00pm

Generated on Sep 21, 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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2962 Total Images

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Dataset Split

Train Set 88%
2615Images
Valid Set 9%
258Images
Test Set 3%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
90° Rotate: Applied
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -14° and +14°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.65% of pixels

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