Dataset Versions

v24

2024-03-17 10:44am

Generated on Mar 17, 2024

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Dataset Split

Train Set 98%
13200Images
Valid Set 1%
181Images
Test Set 0%
49Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 620x620
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 50
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%

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Pack-Counter
Annotate
20231221_084145.jpg
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train
Labels
Attributes
Raw Data
Ground Truth
Model Predictions
Ground Truth Boxes
 
2-Pack
1
 
9-Pack
1
 
Camel
2
 
Liggett
9

Since this image is a processed & augmented version of the original image, you can't modify annotations here.

Attributes

20231221_084145.jpg

620x278
0.17MP

Updated Mar 17, 2024

3:44PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Fit within 620x620
Auto-Adjust Contrast Adaptive Equalization
Flip Both
90° Rotate Applied
Rotation -13°
Shear X: 13°
Y: -12°
Hue
Saturation 10%
Exposure -8%

Annotation History

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Raw Data

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