YOLOv7-CHS: An Emerging Model for Underwater Object Detection
Round 1
Reviewer 1 Report
The article is well written and presents an interesting comparative analysis of various image enhancement algorithms to assess their effect on target detection accuracy.
The minimum hardware requirements for achieving a real-time detection speed of 32 frames per second (FPS) should be added.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Reviewer 2 Report
Small object detection problem was not addressed in THIS paper. Consider mentioning the further works related to this problem
Refer to the specific algorithms when you write "more precise" - more than what?
consider moving the subsection 3.1 or part of it to Section 2 - related works. it is not clear if you are using image enhancement for this work results, so mention the methods you are consireding to use
please refere to SGD and Adam Optimizer in lines 387 and 388
why is YOLOv7-tiny not used as comparison in section 4.6 as it is most suitable for detecting smaller objects?
some minor changes are necessary, like detection mechanism (algorithm?) or diverse ground images
please write the whole word equation in line 326 rather than just Equ
"breathtaking" in line 363 is not relevant to a scientific article
Author Response
Please see the attachment.
Author Response File: Author Response.docx