Computer Vision

Image Classification

We can provide you service to categorize the image at enterprise scale. Our image classification solution makes sure that everything gets labeled quickly and accurately. You can classify the images on the basis of quality, content type or any other custom criteria decided by you.

Object Detection

In-image labels are the basic requirement of any computer vision project. Our object detection solution has the tools for bounding boxes, line labels, polygons, and quality checks to make sure that you get the accurate labels.

Object tagging

We provide you the best solution when it comes to identifying the multiple classes and the multiple instances of certain objects. Our annotators will select a class from the relation you created and label each instance according to your instructions. Our platform supports hundreds of classes and you can get your images labeled according to your requirement.

Semantic Segmentation

Image segmentation is the process of partitioning a digital image into multiple segments. With our tool it will be easy to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.

Pose Estimation

Pose estimation is a process to get the skeleton points from RGB image, which up the whole new realm wherefrom the pose point now we can determine many things like angle and distance between two or more parts and use it to find which action is being performed and if it is done correctly or not.

Tools and Technologies We Use for Offering AI Services​

We use top-of-the-line tools, cutting-edge technologies, and modern approaches to expand and grow your business.

Programming Language

Python | Java | R | Scala | SQL | C++ | 3TypeScript | C # | Swift | Bash | Go | Vue.js | React Js | Angular Js | Express Js | React Native | Node Js | 

Frameworks

Tensorflow | Scikit-learn | SciPy | Flask | Django | RASA | NumPy | NLTK | Spacy | Bot Press | Voice Flow | PySpark | DeepStream | OpenVino | PyTourch | MMNet | Keras | Pandas

Modules/ToolKits

Kurento | Microsoft Cognitive Toolkit | Core  ML

Libraries

TensorFlow | OpenNN | Sonnet TF-Slim | Tensor2Tensor | Neuroph

Image Classification Models

VGG-16 | ResNet50 | Inceptionv3 | EfficientNet

Data Engineering

Azure | Amazon Web Services | Google Cloud | SPSS | MongoDB |  | PostgreSQL | Databricks SQL | Amazon SageMaker | 

Generative AI Models

Generative Adversarial Networks | Transformer models (GPT3, GPT 3.5 Turbo, LaMDA, Wu-Dao)

Algorithms

Supervised/Unsupervised Learning | Clustering | Metric Learning | Fewshot Learning

Neural Networks

Convolutional Neural Networks (CNN) | Recurrent Neural Networks (RNN) | long Short-Term Memory Networks (LSTMN) | Autoencoders (VAE, DAE SAE, etc.) | Generative adversarial networks (GANs) | Deep Q-Network (DQN) | Modular neural network

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