Primarily used on a self localizing bot to detect cars, if any, in its path. Achieved an accuracy of 93% on provided testData while using Histogram of Oriented Gradients (HOG). Have successfully completed 13 stages of training.
Currently tewaking parameters and experimenting with LBP (Local Binary Patterns) to achieve more accuracy. You would start concentrating on negative dataSet once you realize that negative images have a great influence on the overall accuracy of detector.