Dataset Versions

v2

2023-08-07 11:31am

Generated on Aug 7, 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 88%
16725Images
Valid Set 9%
1650Images
Test Set 3%
625Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: Rotation: Between -1° and +1°
Bounding Box: Exposure: Between -16% and +16%

Similar Projects

See More
313 images 3 models
313 images 3 models
314 images 3 models