Georgi

Ai for a happy future

Object Detection

Ai for a happy future Image Dataset

v1

2023-03-13 8:47pm

Generated on Mar 13, 2023

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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Dataset Split

Train Set 86%
120Images
Valid Set 9%
12Images
Test Set 6%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 7.75px
Bounding Box: Noise: Up to 5% of pixels