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Roboflow Chess Dataset Edited

Object Detection

Roboflow Chess Dataset Edited Image Dataset

v1

normal dataset

Generated on Jun 21, 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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Dataset Split

Train Set 87%
606Images
Valid Set 8%
58Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±6° Horizontal, ±6° Vertical
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%