NTUT

Diaphragm

Object Detection

Diaphragm Image Dataset

v5

2022-11-01 10:08pm

Generated on Nov 1, 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 86%
483Images
Valid Set 9%
48Images
Test Set 5%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±45° Horizontal, ±45° Vertical
Blur: Up to 4.5px
Noise: Up to 24% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
diaphragm
1399 images
-bleeding-deKA-o4qx-NKKl-eYK4
217 images
-bleeding-deKA
1077 images
-bleeding-deKA-o4qx
1077 images