Datasets:

Modalities:
Image
Size:
< 1K
Libraries:
Datasets
License:
simamanda commited on
Commit
d2ec753
·
verified ·
1 Parent(s): 94cd043

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -42,10 +42,10 @@ This is the final class distributions
42
  |Specialized Disposal | 1,026 |
43
 
44
 
45
- #### Annotation Process*
46
  For the compost class, some images included items that could not be composted (ex, red meat). I reviewed all the images and moved non-compostable food waste to the trash category. <br>
47
 
48
- For the classes I chose to delete, the first one being plastic bottle caps, from Google searches, it is generally recommended to keep your bottle caps on your bottles when recycling, but for recycling plastic bottle caps, there were specific requirements on what size can and cannot be recycled. For example, according to the Seattle Public Utilities, loose bottle caps less than 3 inches in diameter go into the trash (Seattle Public Utilities). However, from the images alone, it’s difficult to interpret the size of the caps, so for less confusion in training, I choose to opt out of including them. For glass cups, they cannot be recycled and generally recommended to donate them; however, since there are only 3 images in this class, rather than adding a new “donate” class and risk significant class imbalance, I choose to delete them. Lastly, for both unlabelled litter and other plastic, it was difficult to identify these items, so I chose to delete them to minimize confusion. <br>
49
 
50
  For the recycle class, it came up to a total of 6,640 images, but because the rest of the classes were within the 1,000 range, and I wanted to try to prevent any false negatives and accuracy issues from imbalanced classes, I chose to delete 5,033 images from the class and ended up with 1,607. <br>
51
 
 
42
  |Specialized Disposal | 1,026 |
43
 
44
 
45
+ #### Annotation Process
46
  For the compost class, some images included items that could not be composted (ex, red meat). I reviewed all the images and moved non-compostable food waste to the trash category. <br>
47
 
48
+ For the classes I chose to delete, the first one being plastic bottle caps, from Google searches, it is generally recommended to keep your bottle caps on your bottles when recycling, but for recycling plastic bottle caps, there were specific requirements on what size can and cannot be recycled. For example, according to the Seattle Public Utilities, loose bottle caps less than 3 inches in diameter go into the trash ([Seattle Public Utilities](https://www.seattle.gov/utilities/your-services/collection-and-disposal/where-does-it-go#/a-z )). However, from the images alone, it’s difficult to interpret the size of the caps, so for less confusion in training, I choose to opt out of including them. For glass cups, they cannot be recycled and generally recommended to donate them; however, since there are only 3 images in this class, rather than adding a new “donate” class and risk significant class imbalance, I choose to delete them. Lastly, for both unlabelled litter and other plastic, it was difficult to identify these items, so I chose to delete them to minimize confusion. <br>
49
 
50
  For the recycle class, it came up to a total of 6,640 images, but because the rest of the classes were within the 1,000 range, and I wanted to try to prevent any false negatives and accuracy issues from imbalanced classes, I chose to delete 5,033 images from the class and ended up with 1,607. <br>
51