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Lobe

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Introduction：
"Lobe is a user-friendly app for training and integrating custom machine learning models."
Added on：
2025-01-13
Monthly Visitors：
webTraffic 3.8K
Social & Email：
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URL：
https://www.lobe.ai
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Lobe Product Information

What is Lobe?

Lobe is a free and easy-to-use app that allows users to train custom machine learning models and incorporate them into their own applications. It provides a visual programming interface and supports various tasks such as image classification, object detection, and data classification.

How to use Lobe?

To use Lobe, simply download the app on your Mac or Windows computer. Collect and label your images or data to create a machine learning dataset. Lobe automatically trains your model based on the labeled examples. You can then use your trained model with your webcam or images, improve its predictions, and finally export it to your app for deployment.

Lobe's Core Features

  • Easy-to-use visual programming interface
  • Image classification
  • Object detection (coming soon)
  • Data classification (coming soon)
  • Automatic model training
  • Live visual results
  • Model export to industry standard formats
  • Support for TensorFlow, CoreML, ONNX, TF.js, and TFLite

Lobe's Use Cases

  • #1 Plant species identification
  • #2 Hand gesture recognition
  • #3 Personal trainer app
  • #4 Emotional reactions analysis
  • #5 Interactive painting
  • #6 Safety precautions detection
  • #7 Whale watching behavior analysis
  • #8 Beehive health monitoring
  • #9 Baby monitor
  • #10 Smart checkout system
  • #11 Fire watch and prevention
  • #12 Scientific research assistance
  • #13 Wildlife behavior tracking
  • #14 Equipment analytics
  • #15 Telescopic imagery analysis
  • #16 Aerial imagery analysis

FAQ from Lobe

What is Lobe?
Lobe is a free and easy-to-use app that helps you train custom machine learning models and incorporate them into your own applications.
How do I use Lobe?
To use Lobe, download the app on your Mac or Windows computer. Collect and label your images or data, train your model, understand the results, and export it to your app.
What are the core features of Lobe?
Lobe offers an easy-to-use visual programming interface, image classification, object detection (coming soon), data classification (coming soon), automatic model training, live visual results, model export to industry standard formats, and support for various machine learning frameworks.
What are some use cases for Lobe?
Lobe can be used for plant species identification, hand gesture recognition, personal trainer apps, emotional reactions analysis, interactive painting, safety precautions detection, whale watching behavior analysis, beehive health monitoring, baby monitors, smart checkout systems, fire watch and prevention, scientific research assistance, wildlife behavior tracking, equipment analytics, telescopic imagery analysis, and aerial imagery analysis.
Lobe Reddit
Here is the Lobe Reddit: https://reddit.com/r/lobe
Lobe Company
Lobe Company name: Microsoft .
More about Lobe, Please visit the about us page(https://www.lobe.ai/).
Lobe Youtube
Lobe Youtube Link: https://www.youtube.com/channel/UCYryctkBIcCszPAFg79rwAw
Lobe Twitter
Lobe Twitter Link: https://twitter.com/lobe_ai
Lobe Reddit
Lobe Reddit Link: https://reddit.com/r/lobe

Lobe Reviews (0)

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Lobe Analytic

Lobe Website Traffic Analysis

Visit Over Time

  • Monthly Visits 3.8K
  • Avg.Visit Duration 47.89
  • Page per Visit 1.62
  • Bounce Rate 46%

Jan 2024-Jun 2025 All Traffic

Geography

Top 5 Regions
  • flag India 1417
  • flag Taiwan 407
  • flag Turkey 404
  • flag Germany 251
  • flag United States 691

Jan 2024-Jun 2025 Desktop Only

Traffic Sources

  • Mail 2
  • Direct 1.4K
  • Search 1.9K
  • Social 131
  • Referrals 416
  • PaidReferrals 24

Jan 2024-Jun 2025 Desktop Only

Lobe Launch embeds

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Lobe Special

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Lobe Tags

AI artificial intelligence computer vision CoreML Data Classification design developer Development drag and drop easy to use Education free Image classification learn Machine Learning ML model Models neural network object detection Regression Tabular data TensorFlow tool Training Visual programming visualization Lobe bounding boxes convolution labeling evaluate tryout ONNX TF.js TFLite Tensor Flow