IFAM

final-all-just-AI 2

Instance Segmentation

final-all-just-AI 2 Image Dataset

v1

2023-11-29 12:10am

Generated on Nov 28, 2023

Dataset Split

Train Set 89%
1023Images
Valid Set 7%
82Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
to-be-clean-2Akx-d0uT-Cleaned-Area-0VuM-3nFO-5NTS-Cxbd-nsq0
464 images
to-be-clean-2Akx-d0uT-Cleaned-Area-0VuM-3nFO-5NTS-El9E
464 images
to-be-clean-2Akx-d0uT-Cleaned-Area-0VuM-3nFO
464 images
to-be-clean-2Akx-d0uT-Cleaned-Area-0VuM-3nFO-5NTS-dJn6-IWdg
464 images
to-be-clean-2Akx-d0uT-Cleaned-Area-0VuM-3nFO-5NTS-Cxbd
464 images