enbor-eda Dataset

v11

knn

Generated on Sep 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
Choose another format.

Dataset Split

Train Set 89%
6768Images
Valid Set 7%
544Images
Test Set 4%
306Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels