Dataset Versions

v4

2024-09-19 1:13pm

Generated on Sep 19, 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 88%
1701Images
Valid Set 10%
196Images
Test Set 2%
29Images

Preprocessing

Resize: Stretch to 448x448
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.22% of pixels