Version history
Object Detection Cam
47
ASO score
Text
65/100
Reviews
0/100
Graphic
60/100
Other
0/100
App Rating
5
Votes
1
App Age
3y 7m
Last Update
Jul 02, 2025
Compare with Category Top Apps
|
Metrics
|
Current App
|
Category Top Average
|
Difference
|
|---|---|---|---|
|
Rating
|
5
|
4.46
|
+12%
|
|
Number of Ratings (Voted)
|
1
|
468.6K
|
-100%
|
|
App Age
|
3y 6m
|
6y 3m
|
-43%
|
|
Price
|
$3
|
$0
|
|
|
In-app Purchases Price
|
$0
|
$38
|
|
|
Update Frequency
|
163d
|
45d
|
+265%
|
|
Title Length
|
20
|
25
|
-20%
|
|
Subtitle Length
|
23
|
27
|
-15%
|
|
Description Length
|
2 620
|
2 614
|
+0%
|
|
Number of Screenshots
|
2730
|
1013
|
+170
%
|
|
Size
|
44MB
|
188MB
|
-77
%
|
Category Ranking in United States
7 days
Last 7 days
Last 30 days
Last 90 days
Last 180 days
Last year
| Top | Dec 05, 2025 | Dec 12, 2025 |
|---|---|---|
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No results were found!
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| Top | Dec 05, 2025 | Dec 12, 2025 |
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No results were found!
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| Top | Dec 05, 2025 | Dec 12, 2025 |
|---|---|---|
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No results were found!
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| Top | Dec 05, 2025 | Dec 12, 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:
20
of 30
)
Object Detection Cam
Subtitle
(
Characters:
23
of 30
)
Machine Learning Camera
Description
(
Characters:
2620
of 4000
)
Object Detection Cam enables you to detect objects in real time using your iPhone or iPad with custom-trained machine learning models.
The app includes a built-in model, YOLOv3Tiny.mlmodel, a lightweight neural network optimized for fast object detection across 80 object classes.
Object Detection Cam Features:
• Load and run custom machine learning models from the built-in library
• Rename or delete models directly within the app
• Capture photos and save them instantly to the Photos library
• Enable sound alerts when an object is detected
• Choose from different sound tones for object detection feedback
• View all class labels supported by the active machine learning model
Adding Custom Models:
You can download pre-trained .mlmodel files and add them via AirDrop to the following directory in the Files app:
[OD Cam]
You may also train your own object detection models using tools such as CreateML or TensorFlow (conversion to .mlmodel required)
Custom Model Tips:
For instance, if you train a model to detect 5 dog breeds—Husky, Bulldog, Golden Retriever, German Shepherd, and Beagle—it will recognize these accurately.
However, detecting a breed like Boxer (not in the model) may yield incorrect results (e.g., identified as Bulldog).
To improve accuracy, include as many relevant object classes as possible during training.
Usage Examples:
• Detect plant species in a jungle environment
• Identify dog breeds using a trained model
• Detect various animal or insect species
• Monitor item status (e.g., identify defective items)
• And many more use cases—powered by your creativity
Quick Start Guide:
1. AirDrop your .mlmodel file (e.g., DogBreedsModel.mlmodel) into the [OD Cam] folder in the Files app
2. Launch Object Detection Cam
3. Go to the Library tab and tap your custom model
4. The camera will now detect objects based on the model’s class labels
5. When an object is detected, a bounding box and label will appear on screen
6. Tap the shutter button to save a photo to your camera roll
[＊] Ensure your model is specifically trained for object detection (not image classification or other model types)
What is Object Detection?
Object detection uses machine learning or deep learning algorithms to identify and locate objects within images or video.
While image classification assigns a label to an entire image, object detection involves localizing one or more objects with bounding boxes and assigning them class labels.
Thanks for your support!
Visit nitrio.com for more iOS tools and creative apps.
Thanks for your support and do visit nitrio.com for more apps for your iOS devices.}
Read more
Other
Additional Information
| Rating: | |
| Voted: | 1 |
| App Store Link: | |
| Price: | 2.99 $ |
| Website: | |
| Email: | - |
| Privacy Policy: | |
| Categories: | Utilities |
| Size: | 43MB |
| App Age: | 3 years 7 months |
| Release Date: | May 20, 2022 |
| Last Update: | Jul 02, 2025 |
| Version: | 1.1 |
Version history
1.1
Jul 02, 2025
- Updated for the newest devices.
- Minor bugs fixed.
1.0
May 21, 2022
