Dataset Versions

v1

train 69 -test 42

Generated on Jun 15, 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 99%
2898Images
Valid Set %
0Images
Test Set 1%
42Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 400x400
Grayscale: Applied

Augmentations

Outputs per training example: 3
Blur: Up to 0.6px
Noise: Up to 0.91% of pixels