Image Annotation

Shighi Technologies is a dedicated firm that offers a wide range of Image Annotation services for different Artificial Intelligence and Machine Learning Projects. Annotated Image data are crucial for training computer vision models. Shighi Technologies provides various image annotation services that will meet your project requirements, including 2D/3D bounding box annotations, 3D cuboid annotations, Semantic segmentation, Image Classification, or Image Classification, Polygonal Annotation, and more.

We provide training to our annotators in various annotation tools to ensure the highest quality in real-time. Our highly trained annotators learn advanced and recent annotation tools quickly to achieve the highest quality in the annotation. We offer image annotation services to train your autonomous vehicles, drone or aerial navigation, and other computer vision models. Our pixel-wise image annotation for object detection, Face identification or detection, Boundary detection, Landmark recognition, and more., making it easier for your AI model like humans to detect various objects. Our team of annotators executes various methods in annotation to ensure the required quality. We will also adopt the annotation method of your choice, and ready to work on your customized annotation tool. Once we receive the image annotation project, Our systematic workflow supports us to annotate the images and render the images with metadata in the file formats of your choice.

2D Bounding Box Annotation

2D Bounding box is the most commonly utilized type that facilitates the detection of objects. The objective is to empower a machine-learning algorithm to understand or distinguish the appearance or absence of specific objects of interest. Our trained annotators draw and label 2D bounding boxes around the objects of interest in images. We provide 2D bounding box services to multiple industries to develop the object identification of optical perception patterns. Our high-quality 2D bounding box annotation service includes object detection for self-driving cars, Image tagging for eCommerce, Damage detection for Claims, healthcare, drone/aerial navigation, traffic control, and more. We also provide service to our clients to develop their computer vision model's optical search abilities by detecting different objects for the most intricate images.

3D Cuboid / 3D Bounding Box Annotation

3D cuboid annotation for in-depth object identification or detection, producing data sets to train a machine learning model for 3D perception. Our high-skilled experienced annotators draw boxes around images to portray their length, width, and depth. Shighi Technologies provides 3D bounding box or Cuboid image annotation services to train object detection in self-driving vehicles, Indoor objects like furniture, and more. 

Polygon Annotation

Polygon annotation is mostly suited for object identification like traffic signals, signboards, trees, various postures of humans in sports analytics, aerial imagery, and more with high accuracy. Our expertise annotators properly annotate irregular shapes or coarse objects on the road to make computer vision models detect it possibly. Our human-powered polygon annotation service provides the next-level precision quality.

Semantic Segmentation

Semantic segmentation is one of the image annotation methods used to classify, locate, identify, and segment several categories of objects in an image that belongs to the same class. Shighi Technologies annotation experts detect the object of interest within images at the pixel level. We offer a semantic segmentation service to various computer vision projects like identifying the movement of autonomous vehicles, a medical image annotation for timely diagnosis of different types of diseases, and more.

Image Classification

Shighi Technologies offers an Image Classification service to various computer vision projects. Our highly experienced Image classification team ensures the quality and accuracy of images into your requested categories and our team of lead annotators will be reviewing the quality of data before dispatching the final product to you.

Point Annotation, Landmark annotation

Annotating landmark points for exact shape detection in different-sized faces for computer vision models. Shighi Technologies provides landmark keypoint annotation to detect facial expressions, different emotions on the face, and postures of humans or other types of objects of interest.

We offer a free trial with assured quality for any new project to meet your expectations from our annotators. Our free trial allows you to visualize our quality annotation service and a preview of the final annotation.