Dataset Versions

v2

2024-05-06 7:44pm

Generated on May 6, 2024

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 70%
3336Images
Valid Set 6%
292Images
Test Set 24%
1120Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: Not Weed
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied

Similar Projects

See More