Autonomous driving is a breakthrough point to drive emerging industries, and it is also the only means for China to combine new energy vehicles to achieve overtaking in the automotive industry. It is a key step to break the technical barriers of foreign fuel vehicles! It won't stop, it's just gaining momentum!
Dataset Introduction: Click
Introduction to how to use automatic driving scenarios: Click
Fire and Smoke Image Dataset
This dataset contains early fire and smoke image data. The dataset is early images of fire and smoke captured in real scenes using mobile phones. These images are captured under various lighting conditions (indoor and outdoor scenes), weather, etc. This dataset is well suited for early fire and smoke detection. The dataset can be used for fire and smoke recognition, detection, early fire and smoke detection, anomaly detection, etc. The dataset also includes typical household scenes such as garbage burning, paper and plastic burning, field crop burning, home cooking, etc.
cityscape data
Dataset download address:http://m6z.cn/6qBe8e
The Cityscapes dataset (dataset home page) contains labeled videos taken from vehicles driving in Germany. This version is a processed subsample created as part of the Pix2Pix paper. The dataset contains still images from raw videos, and semantic segmentation labels are presented in the images alongside the original images. This is one of the best datasets for semantic segmentation tasks.
African Region Traffic Sign Dataset
Dataset download address: http://m6z.cn/6j5167
Two open source datasets are only used to extract traffic signs used in Africa. The dataset contains 76 classes from all categories, such as regulatory, warning, guidance, and informational signs. In total, the dataset contains 19,346 images and at least 200 instances of each category.
BDD100K Driving Video Dataset
Dataset download address: http://m6z.cn/6qBeaa
UCB's all-weather full-illumination large-scale data set, including 1,100 hours of HD video, GPS/IMU, time stamp information, 2D bounding box annotation of 100,000 pictures, 10,000 pictures Semantic and instance segmentation annotations, driving decision annotations, and road condition annotations. Ten autonomous driving tasks that are officially recommended to use this dataset: image annotation, road detection, drivable area segmentation, traffic participant detection, semantic segmentation, instance segmentation, multi-object detection and tracking, multi-object segmentation and tracking, domain adaptation and imitation learning .
Argoverse dataset
Dataset download address: http://m6z.cn/5P0b9B
Argoverse targets: 3D tracking and motion prediction. The data sets corresponding to the two tasks are actually independent, but the collection equipment and collection location are the same. Provides 360-degree video and point cloud information, and reconstructs the map based on the point cloud, all-weather and full light. Annotated 3D bounding boxes in video and point cloud. The dataset for 3D tracking contains 113 videos of 15-30 seconds, and the motion prediction contains 323,557 videos of 5 seconds (320 hours in total). The main highlight of the dataset is still the link between the original data and the map.
CULane dataset
Dataset download address: http://m6z.cn/643fxb
CULane is a large-scale challenging dataset for academic research on traffic lane detection. It was collected by cameras mounted on six different vehicles driven by different drivers in Beijing. Over 55 hours of video were collected and 133,235 frames were extracted. In each frame, traffic lanes were manually annotated with cubic splines. For situations where lane markings are occluded or invisible by vehicles, lane annotation is still done contextually. Lanes on the other side of the obstacle are not annotated. In this dataset, the main focus is on the detection of four-lane markings, which is the most concerned in practical applications. Other lane markings have no annotations.
Semantic Segmentation Dataset for Self-Driving Cars
Dataset download address: http://m6z.cn/5zYdv9
This dataset provides data image and tag semantic segmentation captured by the CARLA self-driving car simulator. This dataset can be used to train ML algorithms to recognize semantic segmentation of cars, roads, etc. in images.
A dataset of self-driving cars on the road
Dataset download address: http://m6z.cn/5ss0xe
This dataset provides easy-to-use training data for autonomous vehicles. Provides the steering angle, acceleration, brake, and gear corresponding to each frame in the driving video. The video was recorded using a camera mounted on the windshield of the car driving along a road in the Indian state of Kerala.
Real industrial scene data set
The Jishi platform has collected a large number of real scene data sets from the industry and industry, with a total of up to 1473GB of high-quality internal data set resources. The exclusive data sets of Jishi platform come from real business scenarios, collected and provided by industry partners and Jishi platform.
