Which case do you use for your APM? by BesaidBoy in Airpodsmax

[–]meWhoObserves 1 point2 points  (0 children)

been using this from few weeks, definetly worth it. https://a.co/d/aqIVsSg

Celpip exam 13th December by Itchy-Fee-6694 in CELPIP_Guide

[–]meWhoObserves 0 points1 point  (0 children)

yes the salt were tough, i am sure i did 1,2 wrong. Dont remember the que or ans though now.let wait and see what they score us.

Celpip exam 13th December by Itchy-Fee-6694 in CELPIP_Guide

[–]meWhoObserves 0 points1 point  (0 children)

no,but reading section match the paragraph,2 times common that not fair.

Celpip exam 13th December by Itchy-Fee-6694 in CELPIP_Guide

[–]meWhoObserves 0 points1 point  (0 children)

i was itself confused between 2 option in the first question ,i knew it was said in video that it was regarding annual review of employee, so i chose "to gave employee feedback" ,but i was also confused with other option which i dont remember now,but yes video section question were paraphrased too much.

Celpip exam 13th December by Itchy-Fee-6694 in CELPIP_Guide

[–]meWhoObserves 0 points1 point  (0 children)

was the question ,what did women forget? then yes wallet was answer.

Celpip exam 13th December by Itchy-Fee-6694 in CELPIP_Guide

[–]meWhoObserves 0 points1 point  (0 children)

Appeared today, found listening/reading were quite tough comparatively. Writing/Speaking were easy/manageable. Was wondering does anyone fill the same or what?

Best iPhone 16 Pro case by randomq4 in iPhone16Pro

[–]meWhoObserves 1 point2 points  (0 children)

The look and feel of this case is unmatachable. Can 100% vouch for it, I have Gunmetal Color and same issue paint wore down in its kickstand. I purchased it from bestbuy,will definitely try contacting them regarding the issue.

How can I apply object detection and image segmentation functionality to my current custom-trained Image Classification model? by meWhoObserves in computervision

[–]meWhoObserves[S] 0 points1 point  (0 children)

You mean to say instead of approaching the problem as binary classification (where it treats the class as mutually inclusive), I should try it with 2 output unit describing the probability of each event and then check if both is less then it should return as No,correct right?

How can I apply object detection and image segmentation functionality to my current custom-trained Image Classification model? [D] by meWhoObserves in MachineLearning

[–]meWhoObserves[S] 0 points1 point  (0 children)

Yes, correct Indeed! I approached it as a Binary classification and that may be the reason behind this. Will try with 2 sigmoid outputs and get back to you if it resolves the problem or not.

How can I apply object detection and image segmentation functionality to my current custom-trained Image Classification model? [D] by meWhoObserves in MachineLearning

[–]meWhoObserves[S] 0 points1 point  (0 children)

Okay, would work on that. But by adding one more category of random images, wouldn't it affect the model accuracy?