Neural Object Detector
Neural Object Detector is a developer-focused tool for performing real-time object detection and image classification. It comes pre-bundled with the YOLOv3 model and allows users to import custom machine learning models directly via the Files app integration.
Overview · Full Intel report in progress
The App DNA
What makes this app unique?
For Developers and machine learning enthusiasts interested in testing computer vision models on mobile.
What does it look like?
Key features
Includes a pre-bundled YOLOv3 neural network capable of detecting 80 distinct object classes.
Supports importing external object detection or image classification models via the Files app interface.
Automatically draws rounded rectangles over detected objects for visual verification.
Allows users to render annotated images and save them to the device or share them directly from the app.
How much does it cost?
Velocity
Dormant developmentShow more...
5 versions in history. Development pace: zombie.
Who built it?
BYFLARE TECHNOLOGIES (OPC) PRIVATE
4 apps tracked · Developer Tools
Gifling: Animated GIF Widgets
Custom Clock Widgets
Animated Widgets - GIF WidgetsUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Neural Object Detector
How's the Developer Tools market?
The rivals identified
By Kazufumi Suzuki
Both apps target developers and enthusiasts performing on-device image analysis and machine learning model testing. They compete directly through shared support for custom model imports and file-based data sources.
- Vision Detector supports multi-modal Large Language Models and Apple Intelligence, while Neural Object Detector focuses on YOLOv3.
- Vision Detector integrates cloud storage providers like Google Drive and Dropbox, whereas Neural Object Detector relies on Files.
- Vision Detector offers live video continuous inference, while Neural Object Detector emphasizes visual annotation and model testing.
Unlock the head-to-head verdict: where this rival wins, and where it loses.
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Key takeaways for Neural Object Detector
Where is it heading?
Bottom line
This app provides a streamlined, mobile-first environment for testing and visualizing custom machine learning models without requiring a desktop workstation.
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