Dataset Versions

v11

2023-07-05 4:46pm

Generated on Jul 5, 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 80%
1206Images
Valid Set 18%
270Images
Test Set 2%
27Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -34% and +34%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -41% and +41%