test

Boehler2024_test2

Object Detection

Boehler2024_test2 Image Dataset

v2

2024-05-17 4:19pm

Generated on May 17, 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 88%
84Images
Valid Set 8%
8Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -20% and +20%
Blur: Up to 2px
teil1-teil2-teil3
40 images
Boehler
52 images
box
box
box
578 images
0-1-2-3-4-5-6-7-8-9-10
33 images