Class

Tesis

Object Detection

Tesis Image Dataset

v3

2023-06-03 8:43pm

Generated on Jun 4, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 87%
1299Images
Valid Set 8%
122Images
Test Set 5%
67Images

Preprocessing

Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 53% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -89% and +89%
Brightness: Between -52% and +52%
Exposure: Between -31% and +31%
Blur: Up to 4.25px
Noise: Up to 9% of pixels
Cutout: 1 boxes with 29% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 99% Maximum Zoom
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -41% and +41%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 12.5px
Bounding Box: Noise: Up to 15% of pixels