Dataset Versions

v4

first_try_12_01_22

Generated on Jan 12, 2022

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 98%
1035Images
Valid Set 2%
18Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 16% Minimum Zoom, 22% Maximum Zoom
Shear: ±11° Horizontal, ±13° Vertical
Grayscale: Apply to 2% of images
Brightness: Between -13% and +13%