Dataset Versions

v7

yolov8n_finetuned_matucana_2023-12-06 2-40am

Generated on Dec 6, 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.
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Dataset Split

Train Set 89%
1620Images
Valid Set 8%
138Images
Test Set 4%
66Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px