Cider

Object Detection

Cider Image Dataset

v3

2023-04-13 9:18pm

Generated on Apr 13, 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.
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Dataset Split

Train Set 92%
108Images
Valid Set 8%
9Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%
Ciderzero-Sprite-Cider
142 images
Cider-Ciderzero-Sprite-Ciderzero-Sprite-Cider
204 images
Cider-Ciderzero-Sprite
204 images
Ciderzero
310 images