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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