Neural Object Detector vs Analytics for Cloudflare®

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/

Analytics for Cloudflare® brings powerful statistics & insights for your Cloudflare protected websites to your iPhone & iPad. Beautiful graphs, simple metrics & widgets provide you with essential information to keep track of your site's performance. → Keep track of the following key metrics over a period of the last month (30D), the last week (7D) or the last 24 hours (24H) — VISITORS — • Total unique visitors to your server or website • Unique visitors visualized over the selected time period • Total page views — REQUESTS — • Total requests to your server or website • Requests visualized over the selected time period • % of cached requests • % of encrypted requests — SAVED BANDWIDTH — • Total bandwidth served through Cloudflare • Bandwidth visualized over the selected time period • % of cached bandwidth • % of encrypted bandwidth — THREATS — • Total number of threats detected by Cloudflare • Threats over the selected time period — If you enjoy Analytics for Cloudflare, please leave a review on the App Store. For any questions or feedback, please feel free to contact me via support@visits.cloud. — Analytics for Cloudflare® is powered by the official Cloudflare API. The developer of Analytics for Cloudflare® is not directly affiliated with Cloudflare. Cloudflare, the Cloudflare logo, and Cloudflare Workers are trademarks and/or registered trademarks of Cloudflare, Inc. in the United States and other jurisdictions.