Dataset Versions

v2

2023-12-29 10:47pm

Generated on Dec 30, 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 87%
474Images
Valid Set 9%
50Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 15-75% Horizontal Region, 11-56% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Blur: Up to 1.6px
Noise: Up to 0.77% of pixels

Similar Projects

See More
1.2k images