griffithuni

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deepslope1

Object Detection

deepslope1 Image Dataset

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Versions
2023-02-02 3:28pm
v7
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a year ago
2023-01-22 9:57pm
v6
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a year ago
2023-01-22 9:54pm
v5
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a year ago
2023-01-20 11:37am
v4
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a year ago
2023-01-19 3:23pm
v3
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a year ago
2023-01-19 3:08pm
v2
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a year ago
2023-01-17 11:17am
v1
·
a year ago
v5

2023-01-22 9:54pm

Generated on Jan 22, 2023
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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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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100 Total Images

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Dataset Split

Train Set 90%
90Images
Valid Set 5%
5Images
Test Set 5%
5Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Blur: Up to 2.75px
Mosaic: Applied
Bounding Box: Blur: Up to 10px