Dataset Versions

v8

2022-05-15 2:22pm

Generated on May 15, 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 98%
136752Images
Valid Set 2%
2336Images
Test Set %
0Images

Preprocessing

Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±24° Vertical
Saturation: Between -15% and +15%
Brightness: Between -27% and +27%
Exposure: Between -21% and +21%
Blur: Up to 2.25px
Mosaic: Applied

Similar Projects

See More