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- ---
 
 
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  license: cc-by-nc-sa-4.0
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  task_categories:
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  - object-detection
@@ -13,32 +15,25 @@ size_categories:
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  - 10K<n<100K
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  -----------------------------------------------------------------------
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-
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- <u>**Accurate Eyes Detection Dataset**</u>
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-
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-
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- **Dataset Description**
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  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.
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-
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- **Dataset Annotations Format**
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  - High-quality "COCO format annotations"
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-
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- **Key features**
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  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
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  - <u>Various Image acquisition conditions</u>:
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  - Single person (1 or 2 eyes), whole people, groups, ...
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  - Open and closed eyes.
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  - Diversity of lighting and poses.
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-
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- **Preprocessing e Augmentation applied**
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- 1. <u>Preprocessing</u>:
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  - Auto-orientation (with EXIF orientation stripping)
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  - Resize to 640x640 (Stretch)
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- 2. <u>Data Augmentation</u> (create 7 versions for each image):
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  - Random crop: 0-30% of the image
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  - Random rotation: ±15 degrees
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  - Random shear: ±15° horizontal/vertical
@@ -48,12 +43,9 @@ This dataset is designed for real-time "precise eye detection" under various con
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  - Salt and pepper noise: 0.3% of pixels
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  - Cutout: 7 boxes, each with a size of 2%
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-
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  **Nota importante**: Tutti i bounding box sono stati **completamente riannotati manualmente** su Roboflow per garantire la massima accuratezza.
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-
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- **Dataset Structures**
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-
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  dataset/
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  ├── train/
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  │ ├── images/
@@ -63,62 +55,51 @@ dataset/
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  │ └── annotations.json
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- **License - CC BY-NC-SA 4.0**
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-
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- 1. <u>What you can do</u>:
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  - Share - copy and redistribute the material
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  - Adapt - remix, transform, and create derivative works
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  - Use for research, study, and non-commercial projects
73
 
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- 2. <u>Mandatory conditions</u>:
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  - Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made.
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  - NonCommercial - You may not use the material for commercial purposes.
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  - ShareAlike - If you remix, transform, or create derivative works, you must distribute your contributions under the **same license** as the original.
78
 
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- 3. <u>Example of attribution</u>
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- "Accurate Eyes Detection Dataset" by AndreaPorri is licensed under CC BY-NC-SA 4.0
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  Dataset source: https://huggingface.co/datasets/AndreaPorri/Eyes-Detection
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-
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- **Expected Uses**
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  - Real-time eye detection.
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  - Part of an Eye-Tracking pipeline for computer vision applications.
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  - Academic research.
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  - Research for medical applications.
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-
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- **Limitations and Ethical Considerations**
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  - The dataset contains <u>images of faces</u>
93
  - Use permitted <u>only for non-commercial purposes</u>
94
  - It is the user's responsibility to ensure ethical use in compliance with privacy laws.
95
 
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-
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- **Original Datasets of Origin**
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  This dataset was created based on:
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  1. **EyeCon Dataset** - https://app.roboflow.com/andreap/eyecon-eaux0-oykgj/1
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  2. **Eyes Detection Dataset** - https://app.roboflow.com/andreap/eyes_detection-bupne/1
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-
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- **Citazione**
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  If you use this dataset in your research, please cite it as:
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  ```bibtex
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-
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-
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- @dataset
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- {accurate_eyes_detection_2025,
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- author = {Andrea Porri},
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- title = {Accurate Eyes Detection Dataset},
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- year = {2025},
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- publisher = {Hugging Face},
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- version = {2.0},
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- license = {CC BY-NC-SA 4.0},
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- url = {https://huggingface.co/datasets/AndreaPorri/Eyes-Detection}
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- }
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-
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-
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-
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- **Disclaimer**
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- The user is responsible for the ethical and legal use of this dataset. The creator assumes no responsibility for any improper use.
 
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+ <u>**Accurate Eyes Detection Dataset**</u>
2
+
3
+ ------------------------------------------------------------------------
4
  license: cc-by-nc-sa-4.0
5
  task_categories:
6
  - object-detection
 
15
  - 10K<n<100K
16
  -----------------------------------------------------------------------
17
 
18
+ ## **Dataset Description**
 
 
 
 
19
  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.
20
 
21
+ ## **Dataset Annotations Format**
 
22
  - High-quality "COCO format annotations"
23
 
24
+ ## **Key features**
 
25
  - 72,317 images of close-up eyes, people's faces, and real-life scenes.
26
  - <u>Various Image acquisition conditions</u>:
27
  - Single person (1 or 2 eyes), whole people, groups, ...
28
  - Open and closed eyes.
29
  - Diversity of lighting and poses.
30
 
31
+ ## **Preprocessing e Augmentation applied**
32
+ ### 1. <u>Preprocessing</u>:
 
33
  - Auto-orientation (with EXIF orientation stripping)
34
  - Resize to 640x640 (Stretch)
35
 
36
+ ### 2. <u>Data Augmentation</u> (create 7 versions for each image):
37
  - Random crop: 0-30% of the image
38
  - Random rotation: ±15 degrees
39
  - Random shear: ±15° horizontal/vertical
 
43
  - Salt and pepper noise: 0.3% of pixels
44
  - Cutout: 7 boxes, each with a size of 2%
45
 
 
46
  **Nota importante**: Tutti i bounding box sono stati **completamente riannotati manualmente** su Roboflow per garantire la massima accuratezza.
47
 
48
+ ## **Dataset Structures**
 
 
49
  dataset/
50
  ├── train/
51
  │ ├── images/
 
55
  │ └── annotations.json
56
 
57
 
58
+ ## **License - CC BY-NC-SA 4.0**
59
 
60
+ ### 1. <u>What you can do</u>:
 
 
61
  - Share - copy and redistribute the material
62
  - Adapt - remix, transform, and create derivative works
63
  - Use for research, study, and non-commercial projects
64
 
65
+ ### 2. <u>Mandatory conditions</u>:
66
  - Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made.
67
  - NonCommercial - You may not use the material for commercial purposes.
68
  - ShareAlike - If you remix, transform, or create derivative works, you must distribute your contributions under the **same license** as the original.
69
 
70
+ ### 3. <u>Example of attribution</u>:
71
+ "Accurate Eyes Detection Dataset" by AndreaPorri is licensed under CC BY-NC-SA 4.0
72
  Dataset source: https://huggingface.co/datasets/AndreaPorri/Eyes-Detection
73
 
74
+ ## **Expected Uses**
 
75
  - Real-time eye detection.
76
  - Part of an Eye-Tracking pipeline for computer vision applications.
77
  - Academic research.
78
  - Research for medical applications.
79
 
80
+ ## **Limitations and Ethical Considerations**
 
81
  - The dataset contains <u>images of faces</u>
82
  - Use permitted <u>only for non-commercial purposes</u>
83
  - It is the user's responsibility to ensure ethical use in compliance with privacy laws.
84
 
85
+ ## **Original Datasets of Origin**
 
86
  This dataset was created based on:
87
  1. **EyeCon Dataset** - https://app.roboflow.com/andreap/eyecon-eaux0-oykgj/1
88
  2. **Eyes Detection Dataset** - https://app.roboflow.com/andreap/eyes_detection-bupne/1
89
 
90
+ ## **Disclaimer**
91
+ The user is responsible for the ethical and legal use of this dataset. The creator assumes no responsibility for any improper use.
92
 
93
+ ## **Citazione**
 
94
  If you use this dataset in your research, please cite it as:
95
 
96
  ```bibtex
97
+ @dataset{accurate_eyes_detection_2025,
98
+ author = {Andrea Porri},
99
+ title = {Accurate Eyes Detection Dataset},
100
+ year = {2025},
101
+ publisher = {Hugging Face},
102
+ version = {2.0},
103
+ license = {CC BY-NC-SA 4.0},
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+ url = {https://huggingface.co/datasets/AndreaPorri/Eyes-Detection}
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+ }