Labeling
DeepLobe has easy-to-use inbuilt auto-annotation platform that makes the labeling of all types of data easier, precise, and helps streamline the process which leads to better models as a result
Your No-code AI Platform
Turn Any Image, Text, or Video Into Incisive Insights
Your No-code AI Platform
Turn Any Image, Text, or Video Into Incisive Insights
Continuous Machine Vision Applications With DeepLobe
We aim to make AI easily accessible through API to all types of businesses to build next-generation applications with images, text, and videos.
Labeling
DeepLobe has easy-to-use inbuilt auto-annotation platform that makes the labeling of all types of data easier, precise, and helps streamline the process which leads to better models as a result
Training
Automatically create powerful computer vision models that help increase productivity, deliver accurate inferences, reduce time-to-market, and deliver explainability to understand the decisions of the models.
Deployment
Integrate AI models into your application with just a few clicks using our APIs. Get predictions wherever you need them without touching your model architecture.
DeepLobe takes care of infrastrucre management including load balancing and auto-scaling.
Deployment
Integrate AI models into your application with just a few clicks using our APIs. Get predictions wherever you need them without touching your model architecture.
DeepLobe takes care of infrastrucre management including load balancing and auto-scaling.
Reasons why clients and developers love DeepLobe
Ready-to-use pre-built models
Seamless development
and integration
Flexibility to customize
your own models
Scalable deployment for
any business
Personalized pricing effective support
Train custom models in a short span
How it works
We bring the exciting world of Machine Learning to your development environment in three easy steps.
1. Signup & Select
Set up a free account and select from a catalog of our pre-trained models that suits your application.
2. Upload & Create
Upload your training data set and create your custom Machine Learning model.
3. Test & Apply
Quickly test the model accuracy and get your custom API for further use in your applications.
Top Computer Vision Use Cases In Enterprises
Defect Detection
Virtual inspection for defect detection in manufacturing sector.
Customer Demographics
Analyze real-time customer behavior, product choices, user demographics, etc.
Document Classification
Automatic data extraction from scanned invoices and documents
Virtual Damage Inspection
Virtually inspecting the client claims to offer the best suitable policies.
Track Imagery Changes
Real-time monitoring and tracking the progress of projects virtually.
Medical Transcripts
To assist with reading and recording medical transcripts digitally.
Realtime Liveness Detection
To gauge a student’s level of engagement in the virtual classrooms.
Automated Visual Inspection
Visually inspect the machinery and assembly line to detect defective parts.
Smart Mirrors
Virtually checking out the outfits and accessories without testing them in real.
Automatic Tagging
Product tagging enables adding categories, features, and tags to the dashboard.
Visual Product Search
Analyze and track real-time products visually to monitor inventory needs.
Video Surveillance
AI-powered system to monitor security networking and provide real-time alerts.
Aerial Surveillance
Inspecting and detecting on floor activities and empower runway surveillance.
Demographic Analysis
Analyze and interpret tourist demographics to drive incisive insights.
Monitoring Livestock Health
Identify the crop diseases and determine the health and growth of trees.
Content Moderation
Predict and run customer sentiments to optimize content management systems.
Our Clients
From next gen startups to established organisations
Blogs
Explore the latest of our insights.
Top 15 Industrial Applications for Image Classification
Image classification technology has diverse applications from medical imaging to satellite image analysis. Starting from healthcare, banking, and manufacturing to entertainment, image classification is proving to be more efficient and productive. The image classification process involves the use of one or more spectral or textural characteristics to categorize and label groups of pixels within an … ...
Semantic Segmentation: The Key to Industrial Efficiency
Semantic segmentation is the process of assigning a label to each pixel in an image, based on the category of the object or feature it represents. From object recognition, precision mapping, quality control, and security to autonomous system upgrades, semantic segmentation is an all-in-one image segmentation application for better results. This can lead to improvements … ...
Image Segmentation: The Most Interesting Applications
Image segmentation is the process of dividing an image into different parts or segments to identify the objects and boundaries within it. It is one of the most essential tasks in computer vision, as it enables us to extract valuable information from images. Image segmentation has many applications in various fields, including medical imaging, autonomous … ...
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