Dataset Versions

v1

DatFerOJO

Generated on Nov 26, 2021

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 90%
402Images
Valid Set 7%
32Images
Test Set 3%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-69% Horizontal Region, 31-77% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Cutout: 4 boxes with 10% size each
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical