Dataset Versions

v4

2023-08-10 12:34pm

Generated on Aug 10, 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 93%
23151Images
Valid Set 4%
990Images
Test Set 3%
751Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Modify Classes: 0 remapped, 9 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -19% and +19%
Exposure: Between -16% and +16%
Blur: Up to 1.25px
Noise: Up to 2% of pixels