Dataset Versions

v1

2023-09-20 9:17pm

Generated on Sep 20, 2023

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 94%
5038Images
Valid Set 3%
141Images
Test Set 3%
170Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Grayscale: Apply to 2% of images
Saturation: Between -4% and +4%
Brightness: Between -4% and +4%
Exposure: Between -4% and +4%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -4% and +4%
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Blur: Up to 0.25px
Bounding Box: Noise: Up to 1% of pixels