Dataset Versions

v4

2023-03-16 9:41pm

Generated on Mar 16, 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 84%
443Images
Valid Set 10%
53Images
Test Set 6%
29Images

Preprocessing

Resize: Stretch to 2048x1538
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -46% and +0%
Exposure: Between -34% and +34%
Blur: Up to 10px