CBAIT

drinking final

Object Detection

drinking final Image Dataset

v6

2024-02-22 6:08pm

Generated on Feb 22, 2024

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.
Other Formats
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Dataset Split

Train Set 97%
17205Images
Valid Set 3%
499Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -29% and +29%
Brightness: Between -22% and +22%
Exposure: Between -13% and +13%
Blur: Up to 2.3px