Dataset Versions

v7

2022-10-09 12:57pm

Generated on Oct 9, 2022

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 87%
144Images
Valid Set 5%
8Images
Test Set 8%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -28° and +28°
Shear: ±25° Horizontal, ±20° Vertical
Grayscale: Apply to 30% of images
Hue: Between -112° and +112°
Saturation: Between -77% and +77%
Brightness: Between -22% and +22%
Exposure: Between -22% and +22%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Mosaic: Applied