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2D Bounding Box Services | Aispotters

Aispotters offers bounding box annotation services to a wide range of industries. We provide 2D bounding box annotation services for object recognition in computer vision models and Machine Learning models. Basically, 2D bounding box annotated image data sets are utilized in training Computer vision and AI models. Aispotters serves this task with highly skilled and…
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Role of Image Annotators in Machine-Learning

Image annotation is playing a vital role in developing Machine Learning and Computer Vision models. Image annotation data sets are utilized in machine learning to train the AI algorithm and to learn the pattern, and make real-life use of the productions according to the data used. Images are the essential source of training data for…
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Challenges in Image annotation and Video annotation

Annotation is an essential process to develop a Machine Learning model. There are numerous techniques used to prepare datasets for training artificial intelligence models. Image annotation and Video annotation are common techniques in use. Both techniques have their own difficulties. Many challenging obstacles make the annotation process difficult. Preparing training data take extraordinary time and…
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Data Labeling and its Importance in Machine Learning

Data labeling is an essential process to develop computer vision-based AI models. Data labeling plays a vital role in training the systems in this emerging Artificial Intelligence era. Artificial Intelligence is a technology that becomes more significant for all lives and replacing or reducing human efforts in day-to-day life. In general, metadata available to machines…
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What is Image Annotation?

Accurate and high-quality training data is highly essential for the performance of Artificial Intelligence. The main method used to prepare training data for computer vision is image annotation. To train computer vision models annotated images are necessary. This training data set will help the machine to see the world as humans do. Annotation is an…
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