Dataset Versions

v5

2023-07-08 5:34pm

Generated on Jul 8, 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 88%
4541Images
Valid Set 8%
431Images
Test Set 4%
216Images

Preprocessing

Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between 0% and +25%
Bounding Box: Brightness: Between 0% and +40%
Bounding Box: Blur: Up to 3.75px
Bounding Box: Noise: Up to 1% of pixels