final extraction Dataset

v5

Latest Version

Generated on Jul 2, 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 92%
9750Images
Valid Set 4%
400Images
Test Set 4%
417Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -49% and +49%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels
Bounding Box: Shear: ±7° Horizontal, ±8° Vertical
UNV
vehicle-person-rock
2955 images
Contruction-site
5503 images
minesdata
5233 images
Rock-Shadow-Ground-Background-FLrp
372 images
person
10000 images