Skydnn Geospatial object detection and recognition APIs, a state-of-the-art API service, takes as input satellite imagery, street photographs and video frames and returns JSON response of the inference with confidence score, labels and respective geometry as bounding box, polygon or polyline.
We have used 30+ AI models in the map making process and over 1 million KMs to extract several millions of map components. and growing day by day
Land Segmentation and Land Use Classification AI models cover AI categories for business scenarios for Urban planning & smart cities, Infrastructure management, Environment & Agriculture industries.
Know more Contact usAI models for Instance segmentation, object detection, image classification tasks for over 300+ categories are ready-to-use for geospatial analytics, HD Mapping for Autonomous Vehicles, ADAS, UAV.
Know more Contact usSkydnn SDKs and AI annotation pipeline accelerate integration of AI workflows in your strategic business initiatives and expedite AI proliferation across your organisation
Integrate AI Inference APIs in custom workflows & pipelines, and applications.
Integrate AI Inference APIs with AI annotation pipeline for AI assisted annotation with Human-in- a-loop workflow.
We have used 30+ AI models in the map making process over
1 million KMs to extract several millions of map components.
Satellite Image Classification and Segmentation APIs enable cutting-edge Computer Vision AI inferences to categorise and mask objects in the image and generate map view as well as geospatial objects that drive valuable insights
Street Image classification and segmentation APIs enable state-of-the-art Computer Vision AI inferences to detect and catgorise objects in the street photographs and generate localisation as well as map view of geospatial objects useful for a wide range of geospatial analytics and applications
Integrate AI Inference APIs in custom workflows & pipeline, and applications.
Skydnn Geospatial object detection and recognition API is a state-of-the-art API service that takes as
input satellite imagery, street photographs and video frames and returns the JSON response of the
inference with confidence score, labels and respective geometry. Object detections as bounding box,
inference segmentation as polygon geometry and inference for lane or line markings as polyline..
Satellite Image Classification and Segmentation APIs enable cutting-edge Computer Vision AI inferences to categorise and
mask objects in the image and generate map view as well as geospatial objects that drive valuable insights
Building footprints are segmented on high resolution satellite images as polygons which are valuable inputs to spatio-temporal mapping and other geospatial applications
Water bodies are identified and segmented as polygons for distinct water features on a specified area of interest in a satellite image and enable several use cases in the area of disaster management, urban planning, water resources management, agriculture and more
Land cover of vegetation in an area of interest is of great requirement across several industry verticals such as paper industry, climate, wildlife and sustainability, government departments, urban area planning, agriculture and many more. Skydnn satellite imagery API provides vegetation segmentation for such geoanalytics and geospatial applications
Land cover of soil is segmented on satellite imagery which is an important spatio-temporal input for land management, agriculture, urban planning etc.
Road features on satellite image are detected as a polyline and segmented as a polygon enabling a number of use cases across verticals such as infrastructure planning, mapping and lifestyle assessment
Landuse Classification of several categories such as parking lot, residential neighbourhoods of sparse, medium, or dense coverage, industrial, river, highway etc. is an important aspect of land management, infrastructure and urban planning and more
Street Image classification and segmentation APIs enable state-of-the-art Computer Vision AI inferences to detect and
catgorise objects in the street photographs and generate localisation as well as map view of geospatial objects useful for a
wide range of geospatial analytics and applications
Shopping sign boards on streets are annotated as 2D bounding box, labeled and attributed. It's useful to detect shopping point of interest, and essential for text recognition pipeline for OCR on street imagery.
Annotation essential for Indic Text recognition on street imagery using optical character recognition (OCR).
2D bounding box and polygon annotation for detection of traffic signs with single label.
Different traffic sign labels along with 2D bounding box and polygon for traffic sign recognition and instance segmentation.
Road lane markings as polyline annotation on street imagery that are compatible with different lane detection deep neural networks.
Similar to road lane markings as polyline annotation on street imagery but marks the road edge. It is useful to detect the road boundaries.
Road lanes and boundaries annotations are enhanced with different attributes to classify type of lanes and boundary types in road lane classification annotations.
Carefully crafted polygons for different junction scenarios let the AI trained to segment different junctions in the street imagery.
Person or Pedestrian polygon annotations on the street images.
Road signage with different categories detection in the street imagery.
Traffic light, orientation, individual light lamp annotated with polgon segmentation with different attributes in the street imagery.
On road vehicles annotated with 2D bounding box for detection.
2D bounding box annotations of human faces on the street in street imagery as well as blurring of faces for privacy compliance.
On road vehicle number plates are annotated with 2D Bounding Box and the number text for Vehicle number plate recognition task as well as blurring of number plate for privacy compliance.
Building facade or the front of the building are annotated with polygon in the street imagery.
Integrate AI Inference APIs with AI annotation pipeline for
AI assisted annotation with Human-in-a-loop workflow.
If you are looking for an End-to-end AI solution for your next big Computer Vision AI project, then our
AI experts and annotators can provide for the required computer vision AI solution to achieve your business goals.
Contact us to let us know what you are looking for. Our AI experts will help you on your AI journey.