Dataset Versions

v7

with random

Generated on Jul 22, 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 91%
2340Images
Valid Set 9%
226Images
Test Set 0%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 5px
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px