| tatsuyah/vehicle-detection |
1,068 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree. |
| JunshengFu/vehicle-detection |
509 |
|
0 |
0 |
almost 4 years ago |
0 |
|
20 |
gpl-3.0 |
Python |
| Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG). |
| windowsub0406/Vehicle-Detection-YOLO-ver |
100 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
|
Python |
| real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method |
| ahmetozlu/vehicle_counting_hog_svm |
78 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
mit |
C++ |
| Vehicle Detection, Tracking and Counting by SVM with HOG Features with OpenCV |
| mithi/vehicle-tracking-2 |
60 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). |
| NikolasEnt/Vehicle-Detection-and-Tracking |
55 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking |
| Sardhendu/License-Plate-Detection |
41 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Python |
| {Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques |
| ksakmann/CarND-Vehicle-Detection |
40 |
|
0 |
0 |
about 9 years ago |
0 |
|
4 |
|
Jupyter Notebook |
| A vehicle tracker based on sliding windows, HOG and an SVM |
| georgesung/vehicle_detection_hog_svm |
27 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Vehicle detection using HOG + SVM and sliding windows |
| merbar/CarND-Vehicle-Detection |
26 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Monocular vehicle detection using SVM and Deep Learning classifiers |
