AndreaPorri commited on
Commit
840b7a6
·
verified ·
1 Parent(s): 891775c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -5
README.md CHANGED
@@ -15,14 +15,14 @@
15
  This dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
16
 
17
  ## **Dataset Annotations Format**
18
- - High-quality "COCO format annotations"
19
 
20
  ## **Key features**
21
  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
22
  - <u>Various Image acquisition conditions</u>:
23
- - Single person (1 or 2 eyes), whole people, groups, ...
24
- - Open and closed eyes.
25
- - Diversity of lighting and poses.
26
 
27
  ## **Preprocessing e Augmentation applied**
28
 
@@ -40,7 +40,8 @@ This dataset is designed for real-time "precise eye detection" under various con
40
  - Salt and pepper noise: 0.3% of pixels
41
  - Cutout: 7 boxes, each with a size of 2%
42
 
43
- **Nota importante**: Tutti i bounding box sono stati **completamente riannotati manualmente** su Roboflow per garantire la massima accuratezza.
 
44
 
45
  ## **Dataset Structures**
46
  dataset/
 
15
  This dataset is designed for real-time "precise eye detection" under various conditions. It contains highly accurate bounding box annotations, manually retraced to ensure maximum precision.
16
 
17
  ## **Dataset Annotations Format**
18
+ High-quality "COCO format annotations"
19
 
20
  ## **Key features**
21
  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
22
  - <u>Various Image acquisition conditions</u>:
23
+ - Single person (1 or 2 eyes), whole people, groups, ...
24
+ - Open and closed eyes.
25
+ - Diversity of lighting and poses.
26
 
27
  ## **Preprocessing e Augmentation applied**
28
 
 
40
  - Salt and pepper noise: 0.3% of pixels
41
  - Cutout: 7 boxes, each with a size of 2%
42
 
43
+ ## **Nota importante**:
44
+ Tutti i bounding box sono stati **completamente riannotati manualmente** su Roboflow per garantire la massima accuratezza.
45
 
46
  ## **Dataset Structures**
47
  dataset/