Dataset Versions

v5

2023-04-11 10:42pm

Generated on Apr 11, 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 87%
7443Images
Valid Set 9%
732Images
Test Set 4%
380Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x640
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 1% of pixels