| ZFTurbo/KAGGLE_DISTRACTED_DRIVER |
91 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
|
Python |
| Solutions |
| ndrplz/dreyeve |
65 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
C |
| Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios. |
| okankop/Driver-Anomaly-Detection |
64 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
|
Python |
| PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models. |
| Abhinav1004/Distracted-Driver-Detection |
40 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
apache-2.0 |
Jupyter Notebook |
| Solves a kaggle problem of State Farm Distracted Driver Detection |
| nishagandhi/DrowsyDriverDetection |
39 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Python |
| This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. |
| ISS-Kerui/Bus-Driver-Behavior-Detection |
29 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Python |
| CNN+LSTM; Video classification; Four categories（Normal; Smoking; Using mobile; Off seat） |
| luisarojas/distracted-driver-detection |
28 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Predicting the likelihood of what the driver is doing in each of the pictures in the dataset. |
| viritaromero/Distracted-Driver-Detection |
12 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| CNN model that detects distracted drivers on the road |
| TejasNaikk/DriverDrowsiness_Detection |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. |
