iDetection
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User Reviews for iDetection
Cool but what’s the point?
I know what I’m looking at all ready but what’s the use?
Wow, outstanding speed on IPhone 13
We have deployed Yolov5 into several Jetson NX devices, but this app runs the models much more efficiently than we did.
Change resolution
Hi really good work.But I want to try change image resolution and to see the performance. How does it happen?
Note to App Creators
If you suddenly get a large influx of downloads starting yesterday I promoted the app on a social media channel I own. Great work keep it up been a fan for a while. If you have other stuff you need promo for feel free to reach out to me. Happy to do it.
Awesome!
This app works great! The FPS raises and lowers as more objects come into view, but they fixed that with max items slider with 1 objects detected at a time to 100! So great job developers!
App is great, but I have a question
This app is great, and really fun to play with. Does this app utilize the neural engine on the iPhone 12?
Huh, at first I thought that this was a fake
It’s actually pretty good, and I do like the fact that you can change the options for the AI. I would highly recommend this, and best of all, its free! But, could you please make it more compatible with the iPhone 8? The bottom of the app is... how do I put it... squished together? And the max number is often just three dots, I would suggest having to scroll down to access the sliders maybe?.... please fix this.
Great job.
Great work, couple of questions1: how do I add another object to detect?2: I’m interested in removing all but one object from detection list. Is that possible?
Optimism upgradeable night
Better mess up umbrella bowl not recognize simple things vacuum main complaint hear about it is nighttime spy nighttime things
Great Job
For the most part the app has a decent UI. The app performs smoothly on the iPhone 11 with no issues I’m glad to see progress being made on the app great job to the team.
Description
YOLOv5 applies the world's most advanced Artificial Intelligence (AI) to your iOS device camera scene to detect, classify and locate up to 80 classes of common objects in real-time. YOLOv5 is trained on the COCO 2017 dataset with PyTorch and exported to Apple CoreML using our open-source GitHub repository: https://github.com/ultralytics/yolov5 A14 iOS devices perform >30 FPS at 192 x 320 default inference size. Performance may be slower on older devices.
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