2D Bounding Box Annotation Services
Get high-quality training data using our 2D bounding box annotation services for supervised machine learning. Train your AI/ML models and additional computer-aided technologies with our 2D bounding box annotation services. We draw exact bounding boxes to make object localization seamless and easy.
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Annotated Bounding Boxes for ML Models
Bounding boxes are basic and the most common technique for training machine learning models. But the main matter lies in its minute technicalities. Drawing bounding boxes accurately is crucial for developing a good ML model. Besides cautiously drawing the boxes, another important thing is to label the box with the right data. So, it is suggested to outsource 2D bounding box annotation services to get the best results. At skDataEntry, our annotators meticulously draw bounding boxes and label them with accurate information.
Applying Best Practices of Bounding Box Annotation
Explore Diverse Applications of Our 2D Bounding Box
Annotation Services
Object detection is the prime element in which bounding boxes are commonly needed. Our team perfectly draws bounding boxes on objects and annotates them for developing machine learning. Here’s the list of industries or areas where we passionately serve our expert annotation solutions.
Training Self-Driving ML Models
We help train AI models to develop autonomous vehicles. With bounding box annotation it can detect street lights, traffic signals, lanes, potholes, cars, humans, and so on. These vehicles are conscious of their surrounding real-world scenario. They get fed with image data with the help of bounding boxes. Besides autonomous vehicles, our bounding box solutions have multiple utilities across multiple industries. It includes unmanned flying machines, healthcare automation, agro-tech, e-commerce, retail, etc. Our 2D Image Annotation Services pour their human intelligence to draw accurate bounding boxes and label exact data on them.
Automatic Tagging in Retail & E-commerce
The application of bounding box annotation in retail and e-commerce also is wide. It enables automatic tagging options for clothes and accessories. By logic, it helps build visual searching technology and empowers machines to annotate items. Plus, it develops building automatic billing process for retail shops. Therefore, the requirement for 2D bounding box annotation services becomes important. To meet the demand, as an outsourcing data entry service we draw bounding boxes and annotate images. We do it passionately and leave no errors in the process.
Automated Flying in Aviation
Annotated bounding boxes help develop automated flying models. The technology supports automated flying for airplanes, drones, and even missiles. With the help of accurate bounding boxes, accurate 2D aerial mapping with high pixels is possible. As a part of our job, we label images available on aerial view using bounding boxes. It includes buildings, vegetation, flat surfaces, pedestrians, vehicles, etc. Plus, our team is capable of doing video annotation for moving objects. They are bounding boxes on moving objects and tag them with appropriate labels.
Geo Sensing and Agriculture Modernization
Through semantic segmentation, we provide training datasets to geosensing models. These models help to develop crop-tracking technology. The technology constantly monitors crop yield and offers real-time insights into the field condition. It checks weather effects on crops and updates records on the system. Here, we fed the technology with our accurate 2D Image Annotation Services and solutions. We annotate images for geo-sensing models for correct field monitoring and modernizing agriculture.
Apply All Types of Bounding Boxes to Ensure Accuracy
The choice of selecting the right bounding box depends on the objects that are being enclosed. Each type of bounding box represents specific characteristics and is useful in specific scenarios. Our team of 190+ annotation and labeling experts has extensive knowledge of each bounding box type and maintains the accuracy of bounding box labeling.
Axis-Aligned Bounding Boxes (AABB)
Creating bounding boxes is easy in this category. These boxes align with the X and Y axes of the image. This type of bounding box is easy to create, quick, and widely popular.
Minimum Bounding Boxes (MBB)
Covers the object tightly, minimum bounding boxes accurately represent object boundaries as compared to other types. These boxes align the object’s orientation with the object of interest precisely.
Rotated Bounding Boxes
Objects of irregular shapes are getting annotated using this bounding box type. Boundaries of rotated and skewed objects get precisely annotated and labeled using rotated bounding boxes.
Oriented Bounding Boxes (OBB)
Like rotated bounding boxes, oriented bounding boxes accommodate objects with non-axis-aligned orientation. It fits bounding boxes to objects that are tilted or inclined. OBB enables better object representation.
Minimum Volume Bounding Boxes
Enabling the precise measurement of objects using this bounding box is possible. These bounding boxes enclose the object of interest with the minimum possible volume. This type of bounding box becomes useful when the object’s volume is precisely mentioned.
Convex Hull Bounding Boxes
Convex hull bounding boxes connect the outermost points of a set of objects. This type of bounding box mostly deals with objects that come with complex shapes or those images that contain concave regions.
Apply Bounding Boxes for Multiple Purposes
Object Detection
Bounding boxes help identify and localize objects in images. It enables excellent object recognition and classification for the development of computer vision technology.
Object Tracking
Computer vision models monitor objects in real time because of bounding box annotations. Accurately annotated bounding boxes track the movement and positions of the objects to train ML models for computer vision.
Machine Learning
Accurately labeled bounding boxes are training datasets for supervised machine learning models. Annotated bounding boxes train high-performing computer vision models for object recognition and detection tasks.
Autonomous Vehicle Development
Bounding box annotation is the key technology behind the development of autonomous vehicles. Accurately annotated bounding boxes enable ML algorithms to detect and recognize live objects on roads.
Apply Bounding Boxes for Multiple Purposes
Object Detection
Bounding boxes help identify and localize objects in images. It enables excellent object recognition and classification for the development of computer vision technology.
Object Tracking
Computer vision models monitor objects in real time because of bounding box annotations. Accurately annotated bounding boxes track the movement and positions of the objects to train ML models for computer vision.
Autonomous Vehicle Development
Bounding box annotation is the key technology behind the development of autonomous vehicles. Accurately annotated bounding boxes enable ML algorithms to detect and recognize live objects on roads.
Machine Learning
Accurately labeled bounding boxes are training datasets for supervised machine learning models. Annotated bounding boxes train high-performing computer vision models for object recognition and detection tasks.
Draw Precise Bounding Boxes Around the Objects
Tightly drawn bounding boxes are important to train machine learning models. A slight mistake in covering the object area with bounding boxes can make ML inaccurate. Tight bounding boxes accurately capture the boundaries of objects without cutting off any part. It helps feed learning algorithms with localized information to improve overall model performance. Our bounding box annotation experts maintain precision when drawing bounding boxes around the object boundaries.
Choose AskDataEntry for 2D Bounding Box Annotation Services
if You Want These
Automated vehicle technology has come recently to the big picture but we’ve been doing annotation for many years before that. We have been preparing ML training datasets for the last 9 years with diligence and precision. Our bounding box annotation solutions are top-in-quality and exactly fit with the ML model training requirements. But not only this, we deliver more than these simple matters. Let’s check it here.
Get quality along with precision with our bounding box solutions. Experts at AskDataEntry utilize their best skill sets to draw bounding boxes and annotate data in them. With the accurate application of annotation, you can train your ML models better and more accurate. To get the precision, we check our work at multiple started with rigorous auditing of the labeled data. And for boxes, we have a special team that reviews each line of the boxes in detail.
We are a flexible and scalable team. It means we can easily stretch our team to meet your immediate requirements. Later on, we’ll go back to the normal flow. Besides that, our turnaround time is one of the quickest than our close competitors. We can start your work immediately within 24 hours. We follow a disciplined method to start our work and that has made our services quickly deliverable.
Ensure complete security of your data. We received ISO certification for maintaining complete protection of your data. Plus, we have complied with GDPR protocols. This means your data is completely safe with us. We maintain complete data transparency for your work following the data principles. While taking up the project, we sign an NDA agreement for our 2D bounding box annotation services. It binds us to putting complete security to your data while working.
The cost-to-benefit ratio is high for our 2D Bounding Box Annotation Service for AI/ML. We utilize our expertise in drawing bounding boxes around the object and annotating that object with appropriate labels. But we keep our service charges low and that’s completely for a reason. We want to help genuinely ML/AL developers who are creating amazing technology to benefit people.
Get Bounding Box Solutions for Object Detection Project!
Build supervised machine learning models with our pixel-perfect 2D bounding box annotation services. Serving across multiple industries, we accurately draw bounding boxes around the objects and label them. Our solutions are top-notch in quality and benefit developing amazing ML/.AL projects. Fill out this form and keep in touch with our team.
Client Experiences
AskDataEntry’s 2D bounding box service exceeded my expectations. Their attention to detail and quick turnaround time were impressive. I highly recommend their services to anyone in need of accurate and efficient annotation solutions.
Emily P., Director of a Web-based Solution Provider Company, Singapore
