Dataset Versions

v3

2022-10-16 12:06pm

Generated on Oct 16, 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 88%
2811Images
Valid Set 8%
259Images
Test Set 4%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Tile: 2 rows x 2 columns
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Brightness: Between -20% and +20%
Exposure: Between -21% and +21%
Noise: Up to 1% of pixels