Body: <p>I have been working on text detection and recognition for almost two months and new on this field. So far, I have fine-tuned, tested, and trained several text detection/recognition methods, such as <strong>CRAFT</strong>, <strong>TextFuseNet</strong>, <strong>CharNet</strong> for detection, and <a href="https://github.com/clovaai/deep-text-recognition-benchmark" rel="nofollow noreferrer"><strong>clova.ai</strong></a> model for recognition. Now I come up with this question:</p>
  <ul>
  <li>Can object detection approaches(yolov5,efficientDet) be used to solve text/detection problems?</li>
  </ul>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-25T13:01:23.330Z
Comments.Text: Hello. Let me try to understand if I understood your concerns/problem. You have used **text** detection methods for **text** detection. Now, you want to use **object** detection methods for **text** detection. You're asking if that will work? If this is correct, why do you want to use object detection methods/models for text detection?
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-26T01:20:43.700Z
Comments.Text: Hello. It's a suggestion from my supervisor, and now I am stuck with these ideas. I wanted to know if there is someone already experienced this kind of task.
Comments.UserDisplayName: yakhyo
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-26T02:00:37.633Z
Comments.Text: Ok, then rather than asking "Is object detection right way for text detection/recognition?", it would be better to ask "can object detection approaches be used to solve text/detection problems?".
Comments.UserDisplayName: nbro
Tags: <machine-learning><object-detection><object-recognition><text-detection>
Title: Can object detection approaches be used to solve text/detection problems?
UserDisplayName: yakhyo
ThreadText: # Can object detection approaches be used to solve text/detection problems?
  
  (Asked by: username_0 on 2021-01-25)
  
  I have been working on text detection and recognition for almost two months and new on this field. So far, I have fine-tuned, tested, and trained several text detection/recognition methods, such as **CRAFT**, **TextFuseNet**, **CharNet** for detection, and [**clova.ai**](https://github.com/clovaai/deep-text-recognition-benchmark) model for recognition. Now I come up with this question:
  
  * Can object detection approaches(yolov5,efficientDet) be used to solve text/detection problems?
  
  **Tags:** machine-learning, object-detection, object-recognition, text-detection
  > **Comments:**
  > **username_1**: Hello. Let me try to understand if I understood your concerns/problem. You have used **text** detection methods for **text** detection. Now, you want to use **object** detection methods for **text** detection. You're asking if that will work? If this is correct, why do you want to use object detection methods/models for text detection?  
  > **username_0**: Hello. It's a suggestion from my supervisor, and now I am stuck with these ideas. I wanted to know if there is someone already experienced this kind of task.  
  > **username_1**: Ok, then rather than asking "Is object detection right way for text detection/recognition?", it would be better to ask "can object detection approaches be used to solve text/detection problems?".  
  
  ---
  
  ## 0 answers
  
  