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guyabano

Object Detection

guyabano Image Dataset

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Versions
2023-12-20 4:06am
v38
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6 months ago
2023-12-19 11:42am
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6 months ago
2023-12-18 11:45am
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6 months ago
2023-12-17 9:42pm
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6 months ago
2023-12-17 2:35pm
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6 months ago
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6 months ago
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6 months ago
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6 months ago
2023-12-17 12:05pm
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6 months ago
2023-12-17 11:51am
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6 months ago
2023-12-15 4:31pm
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7 months ago
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7 months ago
2023-12-15 1:45pm
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7 months ago
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7 months ago
2023-12-15 1:33pm
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7 months ago
2023-12-15 1:27pm
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7 months ago
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7 months ago
2023-12-15 12:47pm
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7 months ago
2023-12-13 2:11pm
v14
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7 months ago
2023-12-13 1:56pm
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7 months ago
2023-12-13 10:09am
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7 months ago
2023-12-13 3:48am
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7 months ago
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7 months ago
2023-12-13 1:44am
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7 months ago
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2023-12-13 12:15am
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2023-12-11 4:18pm
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2023-12-10 7:49pm
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2023-12-10 6:58pm
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7 months ago
2023-12-10 6:34pm
v3
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7 months ago
2023-12-10 6:29pm
v2
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7 months ago
the good version
v1
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7 months ago
v14

2023-12-13 2:11pm

Generated on Dec 13, 2023
Download Dataset

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2784 Total Images

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Dataset Split

Train Set 87%
2424Images
Valid Set 8%
236Images
Test Set 4%
124Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Mosaic: Applied