Toloka has a powerful open API, it allows you to integrate an on-demand workforce directly into your processes, and to build scalable and fully automated human-in-the-loop ML pipelines. This toolkit makes the integration even easier, e.g. allows using all power of Toloka from Jupyter Notebooks.
I have a weird issue with the crowd chart where setting the nfsPermissionFixer value to true (thus enabling the k8s job object) errors on the helm build as the job runs before the PVC is created. This keeps the job container in a pending state.
The event on the pending job pod is:
Warning FailedScheduling 9m13s default-scheduler persistentvolumeclaim "crowd-shared-home" not found
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.
🗺 This is a service class application software that for the poor areas which have bad traffic safety,the crowd which have lower safety awareness and the people which go out to an unfamiliar place.
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I have a weird issue with the crowd chart where setting the nfsPermissionFixer value to true (thus enabling the k8s job object) errors on the helm build as the job runs before the PVC is created. This keeps the job container in a pending state.
The event on the pending job pod is: