Vehicle Car Detection And Multilabel Classification
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Vehicle Car Detection And Multilabel Classification | 323 | 4 years ago | 22 | mit | Python | |||||
| 使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize | ||||||||||
| Node Efficientnet | 245 |  | 2 | 8 months ago | 37 | October 12, 2022 | 21 | mit | TypeScript | |
| tensorflowJS implementation of EfficientNet 🚀 | ||||||||||
| Fine_grained_classification | 97 | 6 years ago | 5 | Jupyter Notebook | ||||||
| Fined grained classification On Car dataset | ||||||||||
| Road Semantic Segmentation | 64 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation | ||||||||||
| Multiple Instance Learning | 56 | 5 years ago | 3 | Python | ||||||
| Pytorch implementation of three Multiple Instance Learning or Multi-classification papers | ||||||||||
| Perception For Self Driving | 35 | 7 years ago | 1 | Jupyter Notebook | ||||||
| Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm. | ||||||||||
| Traffic Signs | 35 | 7 years ago | HTML | |||||||
| Second Project of the Udacity Self-Driving Car Nanodegree Program | ||||||||||
| Tensorflow Image Classification | 34 | 7 years ago | Python | |||||||
| Easy/Updated Tensorflow Image Classification | ||||||||||
| Carl Cnn | 25 | 6 years ago | 3 | Jupyter Notebook | ||||||
| Car Logos CNN - image classification via neural network | ||||||||||
| Wannapark | 24 | 7 years ago | 3 | gpl-3.0 | Python | |||||
| Project aimed at presenting a model to find a vacant parking spot in real time and ensure car safety using Deep Learning (Parking spot Classification and Face recognition). | ||||||||||
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Python
Convolutional Neural Networks
Classification
Car
Vehicle
Vehicle Detection