| 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. |
| nicolas-gervais/predicting-car-price-from-scraped-data |
305 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Picture and specifications scraper |
| 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 |
| jianlong-yuan/HOG-SVM-python |
40 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
mit |
Python |
| joaofaro/FHOG |
39 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
gpl-2.0 |
C++ |
| C++ Felzenszwalb HOG extractor |
| joaofaro/SVMSGD |
21 |
|
0 |
0 |
about 10 years ago |
0 |
|
1 |
gpl-2.0 |
C++ |
| Stochastic Gradient Descent SVM classifier |
| bingrao/vehicle-detection |
16 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
other |
Python |
| Record the speed of cars passing in front of the Raspberry Pi Picamera. Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG). |
| yukitsuji/Vehicle_Detection_hog |
11 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| vehicle detection by HOG and color features |
| uranus4ever/Vehicle-Detection |
8 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
mit |
Python |
| Vehicle detection based on YOLO and SVM |
| peter-moran/vehicle-detector |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Detects cars in video using an SVM and sliding window search. |
