Dataset Versions

v1

2023-07-07 3:28pm

Generated on Jul 7, 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 92%
5139Images
Valid Set 4%
219Images
Test Set 4%
226Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -6% and +6%
Exposure: Between -28% and +28%
Blur: Up to 3.75px
Noise: Up to 8% of pixels
Bounding Box: Brightness: Between -21% and +21%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels