projek

Projek Akhir satu

Object Detection

Projek Akhir satu Image Dataset

v3

2023-06-16 10:29am

Generated on Jun 16, 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 82%
9279Images
Valid Set 9%
1020Images
Test Set 9%
1020Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -25% and +25%