iDetection Hack 8.0.0 + Redeem Codes
Dream > Design > Deliver
Developer: Ultralytics LLC
Category: Photo & Video
Price: Free
Version: 8.0.0
ID: com.ultralytics.iDetection
Screenshots
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.
All processing is done on-device. Images are not transmitted off-device.
For more info please visit https://github.com/ultralytics/yolov5
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.
All processing is done on-device. Images are not transmitted off-device.
For more info please visit https://github.com/ultralytics/yolov5
Version history
8.0.0
2021-10-15
- New YOLOv5-v6.0 models including YOLOv5n Nano
- Bug fixes and performance improvements
- Bug fixes and performance improvements
7.9
2021-09-12
-New YOLOv5 release 5.0 models with nn.SiLU() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Bug fixes and performance improvements
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Bug fixes and performance improvements
7.8
2020-10-28
-YOLOv5.3 models with nn.Hardswish() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Landscape mode and upside down mode inference
-Bug fixes and performance improvements
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Landscape mode and upside down mode inference
-Bug fixes and performance improvements
7.7
2020-09-20
-Updated to use the latest YOLOv5.3 models with hardswish activations
-Added capability for realtime IoU threshold and confidence threshold updates using a slider bar
-Added capability for landscape mode and upside down mode inference
-Bug fixes and performance improvements
-Added capability for realtime IoU threshold and confidence threshold updates using a slider bar
-Added capability for landscape mode and upside down mode inference
-Bug fixes and performance improvements
7.6
2020-08-30
-Optimized YOLOv5 models
-Bug fixes and performance improvements
-Bug fixes and performance improvements
7.5
2020-08-23
-Updated YOLOv5 models
-Bug fixes and performance improvements
-Bug fixes and performance improvements
7.4
2020-03-03
-Updated CoreML models
-Bug fixes and performance improvements
-Bug fixes and performance improvements
7.3
2020-02-15
-Updated CoreML models
-Bug fixes and performance improvements
-Bug fixes and performance improvements
7.2
2020-02-11
-Bug fixes and performance improvements
7.1
2019-08-13
-Bug fixes and performance improvements
7.0
2019-08-03
- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- Firebase Integration
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- Firebase Integration
6.9
2019-07-30
- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
6.8
2019-07-30
- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
6.6
2019-05-27
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
6.4
2019-05-25
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
6.3
2019-05-21
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
6.2
2019-05-20
- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
- 90 instance per image limit
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
- 90 instance per image limit
6.0
2019-05-01
- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
5.0
2019-04-30
- YOLOv3-SPP inference at 320x320 resolution.
- Pinch-to-zoom functionality added for 1 - 10X zoom.
- Pinch-to-zoom functionality added for 1 - 10X zoom.
4.0
2019-04-22
- YOLOv3-SPP implemented
- Inference size reduced to 320 pixels
- Conv2d() + Batchnorm2d() layer fusion implemented
- Inference size reduced to 320 pixels
- Conv2d() + Batchnorm2d() layer fusion implemented
3.0
2019-03-15
- Bug fixes and performance improvements
- Improved full-screen video utilization
- Improved full-screen video utilization
2.2
2019-02-23
- Bug fixes and performance improvements.
2.1
2019-02-15
- Bug fixes and performance improvements
- Compatibility enhancements for different screen sizes
- Compatibility enhancements for different screen sizes
2.0
2019-02-13
Ways to hack iDetection
- Redeem codes (Get the Redeem codes)
Download hacked APK
Download iDetection MOD APK
Request a Hack
Ratings
4.4 out of 5
51 Ratings
Reviews
Radio395,
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.
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.
iGoMango,
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.
sonicisdeadtome,
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.
blacklionNS,
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.
saniei,
Great job.
Great work, couple of questions
1: how do I add another object to detect?
2: I’m interested in removing all but one object from detection list. Is that possible?
1: how do I add another object to detect?
2: I’m interested in removing all but one object from detection list. Is that possible?
helloNicei,
Change resolution
Hi really good work.
But I want to try change image resolution and to see the performance. How does it happen?
But I want to try change image resolution and to see the performance. How does it happen?
Linda Dizon,
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!
qwertyuiopasdfghjkl;'zxcvbnm,.,
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?
sexshot,
Optimism upgradeable night
Better mess up umbrella bowl not recognize simple things vacuum main complaint hear about it is nighttime spy nighttime things
biotwist,
Cool but what’s the point?
I know what I’m looking at all ready but what’s the use?
