Dataset Versions

v12

ALL v1 x16 Histogram Equalization

Generated on Jun 8, 2024

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 96%
3888Images
Valid Set 2%
81Images
Test Set 2%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 16
Flip: Horizontal
Crop: 15% Minimum Zoom, 50% Maximum Zoom
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Bounding Box: Brightness: Between -25% and +25%

Similar Projects

See More
169 images 1 model