A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
A machine learning approach of automatic identification and counting of all types of blood cells: RBCs, WBCs, and Platelets with K-nearest neighbor (KNN) and intersection over union (IOU) based verification.
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
A Set of Functions to Make Social Science Analysis Easier. These include a simple count with frequencies and weights. A way to calculate a mean with confidence intervals. A way to recode variables and keep their order, as well as a function to combine multiple dataframes with the same naming convention.
Counting dataset for Vision & Language models. Introduced in the paper "Seeing Past Words: Testing the Cross-Modal Capabilities of Pretrained V&L Models". https://arxiv.org/abs/2012.12352