Dataset Versions

v11

team4_628imgs_320imgsize_v11

Generated on Apr 5, 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 86%
1263Images
Valid Set 9%
128Images
Test Set 5%
79Images

Preprocessing

Resize: Stretch to 320x320
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%

Similar Projects

See More