Egor

Cs2

Object Detection

Cs2 Image Dataset

v8

2024-06-10 9:06am

Generated on Jun 10, 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.
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Dataset Split

Train Set 96%
11550Images
Valid Set 4%
500Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Blur: Up to 0.3px
Noise: Up to 0.98% of pixels
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