City Scapes – Depth and Segmentation
This dataset is a preprocessed dataset of the City Scapes dataset, to be used for two tasks: Depth Estimation and Semantic Segmentation.
Road Surface Analysis Dataset for Pothole Detection
Road Surface Analysis Dataset for Pothole Detection Road Surface Analysis Dataset for Pothole Detection Datasets Road Surface Analysis Dataset for
Drone Object Detection
This dataset was used with Yolov2-tiny, Yolov3-voc versions. Generally suitable for working with Yolo architecture and darknet framework.
3D-Printer Defected Dataset
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Self-Checkout Videos Object Tracking
Using self-checkout videos along with object tracking is a big step forward in how shops work. In our AI data collection company, we’re dedicated to helping businesses use this technology to make their shops work better, make customers happier, and make more profit.
Semantic Segmentation for Self Driving Cars
Semantic segmentation is a crucial computer vision technique used in the context of self-driving cars to understand and interpret the environment surrounding the vehicle. It involves the process of assigning semantic labels to each pixel in an image or a series of images, effectively segmenting the image into various meaningful objects or regions.
Udacity Self Driving Car Dataset
With our top-notch data collection services, you can trust that your models are not only efficient but also secure, laying the groundwork for a safer future in autonomous driving.