Without a Data Annotation Tool, the AI Data Processing is impossible. Some might choose the open source tool, some might come for the vendor source tool or even develop their own tool. With either of these, it is essential for businesses to consider top 5 annotation tool features to find the most suitable one for their products: Dataset…
This is the first video of the series 5 Essentials of AI Training Data Labeling work. Ngoc will talk about data quality and its determinants. You can watch our video here, or read the transcription below. Turn on subtitles for English, Japanese, Korean and Vietnamese Hello everyone, my name is Bich Ngoc from Sales Department…
Data is the foundation of all the AI projects and there are different ways to prepare datasets, including collecting through the internet or consulting an agency. So, what is the best way to get raw data for the AI Data Training process? One suggested way to collect the train and test data is to…
“We enjoy working with LQA because of the high quality of their work and their flexibility in accommodating any new task. In the past year, we had a variety of different projects, from simple bounding box annotations to complex pixel-wise segmentation, and every time the team was able to perform the task according to the…
Data Annotation is the process of labelling the training data sets, which can be images, videos or audios. Needless to say, AI Annotation is of paramount importance to Machine Learning (ML), as ML algorithms need (quality) annotated data to process. In our AI training projects, we use different types of annotation. Choosing what type(s) to…