Dataset Versions

v1

2022-05-22 6:38pm

Generated on May 22, 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 69%
8210Images
Valid Set 21%
2498Images
Test Set 10%
1142Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 7 rows x 7 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 1
Mosaic: Applied
Bounding Box: Noise: Up to 5% of pixels