F103-AI-Soil-pH-Strip-Color-Detection-Classification

Object Detection

Dataset Versions

v3

2024-10-18 2:13pm

Generated on Oct 18, 2024

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Dataset Split

Train Set 92%
270Images
Valid Set 8%
22Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%

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F103-AI-Soil-pH-Strip-Color-Detection-Classification
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Labels
Attributes
Raw Data

Annotations

Group:
test_pad

Classes

Layers

 
aruco
2
 
logo
1
 
test_pad
3

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

IMG_4052.JPG

1280x1280
1.64MP

Updated Feb 4, 56768

8:37PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 1280x1280
90° Rotate Applied
Rotation
Shear X: 3°
Y: 0°
Brightness -9%

Annotation History

Loading...

Raw Data

Source Data

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