Agrif

mendeteksipakaianrapi

Object Detection

mendeteksipakaianrapi Image Dataset

v3

2023-06-15 3:45pm

Generated on Jun 15, 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%
5195Images
Valid Set 8%
499Images
Test Set 4%
252Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 800x450
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -31% and +31%
Blur: Up to 2px
Noise: Up to 8% of pixels
shirt-jeans-cloth-tshirt
136 images
Safe-Danger-TmNn
1106 images
Safe-Danger
1106 images
helmet-nbh5-Safe-Danger-TmNn
664 images