Dataset Versions

v8

2023-10-27 1:27am

Generated on Oct 26, 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 71%
2223Images
Valid Set 15%
452Images
Test Set 14%
441Images

Preprocessing

Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Noise: Up to 3% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical