The Playment survey on task difficulty suggests that Semantic segmentation is one of the difficult tasks for our annotators.
This article would succinctly describe the best ten image datasets used for certain fundamental computer vision problems such as classification, detection and segmentation.
Deep learning is a type of machine learning that mimics the neuron of the neural networks present in the human brain.
2D Bounding Boxes is perhaps the most ubiquitous annotation type one might encouter in computer vision. As the name suggests, the annotator is asked to draw a box over the objects of interest based on the requirements of the client.