Dataset Versions

v7

2022-09-28 9:18am

Generated on Sep 28, 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 83%
7530Images
Valid Set 9%
815Images
Test Set 8%
687Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -25° and +25°
Shear: ±9° Horizontal, ±9° Vertical
Saturation: Between -3% and +3%
Brightness: Between -18% and +18%
Noise: Up to 4% of pixels
Mosaic: Applied

Similar Projects

See More
a aa
2.4k images 2 models
2.4k images 1 model