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e375053
added code for basic DA + examples of generated images in example_data
annitziak Feb 9, 2025
a427c1a
small bug fixed
annitziak Feb 9, 2025
ee9d488
example data correction
annitziak Feb 9, 2025
3a1595e
Add files via upload
annitziak Feb 9, 2025
bcc0940
Update README.md
annitziak Feb 9, 2025
59d8161
Resolved merge conflicts
vidiasgiannis Feb 9, 2025
6294ab7
last changes
vidiasgiannis Feb 9, 2025
a132ded
new changes
vidiasgiannis Feb 9, 2025
37bdbb1
training on trash net
vidiasgiannis Feb 9, 2025
308dfd1
realwaste baseline training
vidiasgiannis Feb 10, 2025
320031a
lastchanges
vidiasgiannis Feb 11, 2025
48fd08e
integrated first autgmentation
vidiasgiannis Feb 12, 2025
492174a
added code for training dataset analysis for color, noise, rotation a…
annitziak Feb 14, 2025
72f7428
Image erasing
vidiasgiannis Feb 16, 2025
5ee8efd
last changes
vidiasgiannis Feb 16, 2025
db8df56
Resolved merge conflicts
vidiasgiannis Feb 16, 2025
a60d1cc
Removed unnecessary file
vidiasgiannis Feb 16, 2025
6ebf28c
Added file from source-branch
vidiasgiannis Feb 16, 2025
581e28e
new file added
vidiasgiannis Feb 16, 2025
fd59935
update da_image_manipulation
vidiasgiannis Feb 16, 2025
c9dba7d
da_manipulation updated
vidiasgiannis Feb 16, 2025
1a09d04
last changes
vidiasgiannis Feb 16, 2025
68d23a3
Erasing completed
vidiasgiannis Feb 18, 2025
63246b1
add new file data manipulation
vidiasgiannis Feb 18, 2025
6407eec
last changes
vidiasgiannis Mar 3, 2025
dae0d7f
check image_manipulation
vidiasgiannis Mar 9, 2025
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21 changes: 1 addition & 20 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,23 +3,4 @@
Update `proposal.md`

https://www.notion.so/Machine-Learning-Practical-1889f99a47b6801c8a6cc4bfd2c73cac?pvs=4 <br>
`new template` : https://www.overleaf.com/8581932666vtycckjvtkgy#5487f5 <br>

`old`:https://www.overleaf.com/9113767633wtpbydgfbdxr#6c98a0

## Results

### RealWaste F1-score:
| Model | Cardboard | Glass | Metal | Paper | Plastic | Trash |
|--------------|----------|-----------|--------|----------|----------|----------|
|trained_realwaste_baseline_densenet | 84% | 86% | 85% | 87% | 82% | 83% |
|trained_realwaste_augmentation_version_02_val_densenet | 79% | 79% | 82% | 82% | 77% | 76% |
| trained_trashnet_densenet| 38%| 30%| 60%| 54%| 59%| 6%|


### Trashnet F1-score:
| Model | Cardboard | Glass | Metal | Paper | Plastic | Trash |
|--------------|----------|-----------|--------|----------|----------|----------|
|trained_realwaste_baseline_densenet | 39% | 41% | 52% | 58% | 32% | 1% |
|trained_realwaste_augmentation_version_02_val_densenet | 54% | 56% | 63% | 67% | 23% | 5% |
| trained_trashnet_densenet| 41%| 34%| 59%| 51%| 52%| 9%|
https://www.overleaf.com/9113767633wtpbydgfbdxr#6c98a0
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