Version history
Neural Object Detector
54
ASO score
Text
59/100
Reviews
50/100
Graphic
60/100
Other
0/100
App Rating
5
Votes
8
App Age
8y 4m
Last Update
Jun 25, 2022
Compare with Category Top Apps
|
Metrics
|
Current App
|
Category Top Average
|
Difference
|
|---|---|---|---|
|
Rating
|
5
|
4.66
|
+7%
|
|
Number of Ratings (Voted)
|
7
|
8.2M
|
-100%
|
|
App Age
|
8y 3m
|
9y 4m
|
-11%
|
|
Price
|
$3
|
$0
|
|
|
In-app Purchases Price
|
$0
|
$36
|
|
|
Update Frequency
|
1266d
|
21d
|
+5 952%
|
|
Title Length
|
22
|
26
|
-15%
|
|
Subtitle Length
|
30
|
28
|
+7%
|
|
Description Length
|
3 112
|
3 072
|
+1%
|
|
Number of Screenshots
|
564
|
1504
|
-63
%
|
|
Size
|
244MB
|
315MB
|
-23
%
|
Category Ranking in United States
7 days
Last 7 days
Last 30 days
Last 90 days
Last 180 days
Last year
| Top | Dec 04, 2025 | Dec 11, 2025 |
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| Top | Dec 04, 2025 | Dec 11, 2025 |
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| Top | Dec 04, 2025 | Dec 11, 2025 |
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No results were found!
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| Top | Dec 04, 2025 | Dec 11, 2025 |
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No results were found!
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Ranking Keywords in United States
| Keywords | App Rank |
|---|
Analyze this and other apps using Asolytics tools
Text ASO
Title
(
Characters:
22
of 30
)
Neural Object Detector
Subtitle
(
Characters:
30
of 30
)
See the world, like computers.
Description
(
Characters:
3112
of 4000
)
Neural Object Detector was designed to be used by both developers and people who are enthusiastic about Machine Learning, Computer Vision, and Object Detection / Image Classification using the combination of both. Neural Object Detector, by default is bundled with YOLOv3 model, which is a neural network for fast object detection that detects 80 different classes of objects. In addition to that, the app allows the users to import any custom machine learning model designed for object detection or image classification, with a single tap, the downloaded model can be imported via the Files app import window which is available within the app by simply pressing the plus icon on the models view so users do not have to leave the app. The app, based on the model selected, draws a rounded rectangle over the detected objects, the annotated image can be rendered and saved to photos or shared if the user chooses to share it directly from the app. To meet every users needs a handful of settings for computer vision algorithm and camera resolution can be changed. Users have the option to enable CPU only mode, which helps test their models under that specific condition.
In addition to Object Detection, Neural also supports Image Classification, by default, Neural is bundled with Resnet50 Image Classification Model.
Core ML* models which are a type of "Pipeline" in the format of *.mlmodel is supported by this app for Object Detection. No other model format is supported as of now.
Core ML Supported Tools, Services, and Converters:
• Turi Create* - https://github.com/apple/turicreate
• IBM Watson Services* - https://developer.apple.com/ibm/
• Core ML Tools* - https://pypi.org/project/coremltools/
• Apache MXNet* - https://github.com/apache/incubator-mxnet/tree/master/tools/coreml
• TensorFlow* - https://github.com/tf-coreml/tf-coreml
• ONNX* - https://github.com/onnx/onnx-coreml
* Turi Create, IBM Watson Services, Core ML, Apache MXNet, TensorFlow, ONNX might be registered trademarks of their respected owners / proprietors. Neural Object Detector nor the developer is not affiliated with any of the above services or companies.
YOLOv3 Model bundled with the is app is free, open source model. More info: https://github.com/pjreddie/darknet
Resnet50 Model bundled with this app for Image Classification is free, and open source model.
More info: https://github.com/fchollet/deep-learning-models/blob/master/LICENSE
Visit https://hariharanm.com/neural/acknowledgements/ for Acknowledgments.
The machine learning aspects are all proceed on device so nothing leaves the device. No cloud services are involved. No private analytics services. If, a user decides to contact app support a handful of data will be complied into a log file and attached to the mail composer, these data include app version, app configuration, device model, battery info, device software version, CPU utilised my the app. If the user decided not share, they can simply delete it and continue with the composing the support mail. No data is that is individually identifiable is collected.
https://hariharanm.com/}
Read more
Other
Additional Information
| Rating: | |
| Voted: | 8 |
| App Store Link: | |
| Price: | 2.99 $ |
| Website: | - |
| Email: | - |
| Privacy Policy: | |
| Categories: | Photo & Video, Developer Tools |
| Size: | 243MB |
| App Age: | 8 years 4 months |
| Release Date: | Aug 17, 2017 |
| Last Update: | Jun 25, 2022 |
| Version: | 1.5 |
Version history
1.5
Jun 25, 2022
Minor performance improvements, and updated the app name for better reach.
1.2.3
Oct 21, 2021
Critical Bug Fix & Significant Performance Improvements. In addition to the those, this update also sets foundation for exciting new features and optimisations coming in the near future.