Dataset Versions

v13

2022-10-04 3:50pm

Generated on Oct 4, 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 95%
3120Images
Valid Set 5%
164Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Saturation: Between -20% and +20%
Brightness: Between -35% and +0%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 11% size each
Bounding Box: Exposure: Between -11% and +11%
Bounding Box: Blur: Up to 1.25px

Similar Projects

See More
463 images 1 model