The importance of details
Do details matter in image annotation? For example, when we want to train a human detection model for street camera views, what is the best strategy in annotation? In most real-world situations, images will contain partially occluded silhouettes. If we see only the lower half of the body or only the upper half, should they […]
Taskforce oriented to deliver best quality dataset for AI models
When approaching building an AI model, one should decide on the right dataset to be used for training and evaluation of the developed model. If you are an ML hobbyist, the generally accessible dataset will probably suffice. But models built for industrial applications usually require more attention on data preparation and fine tuning (see our […]
AI model is only as good as the training dataset
How to build your first AI model effectively? When building first AI models, especially for popular tasks like people or car detection, ML developers quite often rely on available free datasets developed by universities and companies. However being a good choice for a start, in many real-life use cases the data turn out to be insufficient […]