Dataset Versions

v6

As4V06-2022-03-13 7:46pm

Generated on Mar 13, 2022

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%
2142Images
Valid Set 8%
204Images
Test Set 4%
102Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Tile: 2 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -10% and +10%

Similar Projects

See More