Dataset Versions

v1

2024-10-16 5:08am

Generated on Oct 16, 2024

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%
6681Images
Valid Set 6%
467Images
Test Set 3%
201Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -9° and +9°
Blur: Up to 0.6px
Noise: Up to 0.38% of pixels