Dataset Versions

v9

2021-10-12 5:35pm

Generated on Oct 12, 2021

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 91%
387Images
Valid Set 4%
18Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Tile: 1 rows x 3 columns
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 1% of pixels

Similar Projects

See More
HT HT
441 images