Cityscapes Image Pairs

Cityscapes data (dataset home page) contains labeled videos taken from vehicles driven in Germany. This version is a processed subsample created as part of the Pix2Pix paper.

Flying-Planes Dataset

We acknowledge the Fast AI team and Jeremy Howard for their educational contributions that inspired this dataset’s creation.

Human Action Recognition (HAR) Dataset

A Human Action Recognition (HAR) dataset is a collection of data, often in the form of videos or sequences of images, that is used for the task of recognizing and classifying human actions or activities performed in those videos. HAR datasets are widely used in computer vision and machine learning for applications such as surveillance, human-computer interaction, and activity monitoring.

facial keypoint detection

At Globose Technology Solutions Private Limited, we’re all about facial keypoint detection because we know it can make a big difference. We’re always coming up with new and better ways to recognize faces, pushing the boundaries of what’s possible.

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.

Amur Tiger Re-Identification

Amur Tiger Re-Identification Amur Tiger Re-Identification Datasets Amur Tiger Re-Identification File Amur Tiger Re-Identification Use Case Computer Vision Description The

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