Dataset Versions

Versions
2024-01-30 11:22pm
v20
·
a year ago
2024-01-30 10:08pm
v19
·
a year ago
2024-01-30 8:30pm
v18
·
a year ago
2024-01-30 7:54pm
v17
·
a year ago
2024-01-30 7:36pm
v16
·
a year ago
2024-01-30 7:35pm
v15
·
a year ago
2024-01-30 7:35pm
v14
·
a year ago
2024-01-30 7:33pm
v13
·
a year ago
2024-01-30 7:32pm
v12
·
a year ago
2024-01-30 7:30pm
v11
·
a year ago
2024-01-30 2:40am
v10
·
a year ago
2024-01-30 12:33am
v9
·
a year ago
2024-01-27 12:50am
v8
·
a year ago
2024-01-27 12:43am
v7
·
a year ago
v9

2024-01-30 12:33am

Generated on Jan 29, 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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2524 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 87%
2208Images
Valid Set 8%
212Images
Test Set 4%
104Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-66% Horizontal Region, 30-86% Vertical Region
Resize: Stretch to 608x608
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±9° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Noise: Up to 1.29% of pixels

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