Video datasets with multi-faceted recordings for machine learning video recognition. Optimize your video-based systems with high quality video datasets. Receive prompt delivery of large quantities of highly diverse training video datasets that are adapted to the specifications of your machine learning video recognition system.
Our international crowd of Clickworkers is prepared to create video datasets for your specialized requirements. The classifying of your existing video datasets by our Clickworker crowd increases the quality of your AI training data and provides optimized results which are relevant to your machine learning video recognition systems.
Machine learning video recognition starts by obtaining optimized training data.
Whether developing AI-based surveillance, motion detection or gesture guidance systems, it is crucial to obtain large quantities of high-quality training data, in the form of individualized video datasets, to achieve outstanding results.
With the support of our international crowd we provide the desired type and quantity of the specific video datasets required to train your video recognition system in record time.
Our Clickworkers create video datasets according to your specifications which, among other things, include the following aspects:
The dynamic nature of our crowd ensures you to obtain authentic, representative and highly-diverse video datasets for the optimal AI training of your machine learning video recognition systems:
Ensuring the highest level of quality of your training data is essential for guaranteeing the best results for machine learning video recognition systems.
All existing video datasets require a thorough check and hand-selection before being used as training data. We offer a service which classifies video datasets to handle this large-scale task.
Our crowd can view thousands of video datasets for machine learning in a concise amount of time and categorized or analyze them according to your specifications. Video datasets can be classified i.e. according to quality, length or content. Additionally, a video analysis by our crowd delivers many detailed insights which can provide an understanding of shown objects, human actions and interactions.
This high-quality training data enables your machine learning video recognition system to continue learning and achieving the desired results.
With the Clickworker app (available for Android and iOS), our team can easily create video datasets from anywhere in the world. They are transmitted directly via the app.
Log in
Select Job
Create Video Recordings
Upload Video Datasets
Job opportunities for our Clickworker to create video datasets for machine learning are set-up according to your specifications and requirements. In addition to content, surroundings, time-of-day and lighting conditions, you can also specify the length and number of videos you want to be recorded. It is also possible to include geo-data in the delivery of every video file.
In order that your machine learning video recognition systems are able to correctly identify and recognize moving images, they need to be fed and trained with specific data. Video datasets that are available to the public often fail to meet such requirements. Their diversity is often inadequate, not available in sufficient quantities or impractical for the training of algorithms that ensures the seamless operation of the system.
Working in close cooperation with you, we consult on the set-up of a project tailored to meet the creation and/or categorization of your video datasetd needs. We will quickly organize a large-scale team of Clickworker who have the necessary skills and meet your diverse, demographic specifications to create the required video datasets. We manage the project, quality control, payment to the Clickworker and the transmission of the highest quality of training data, within the desired format, to your video recognition system.
This service provides thousands of photo datasets that are created explicitly for the optimized training of your AI systems. With our app connected to their smartphones, our Clickworker can take pictures of various objects, animals, individuals with varying facial expressions, body movements etc. Accordingly they effortlessly transfer the imagery with just one click.
This service provides large quantities of training data to perfect your speech recognition systems. Our global team of Clickworker creates original voice recordings and helps providing a multitude of audio datasets in your desired languages, which represent an abundance of dialects and pronunciations.
This service allows the development of thousands of annotations of your photo datasets. Thus high-quality training data for your computer vision models is delivered in a timely fashion. Our Clickworker make pixel accurate semantic segmentations or select image elements, mark objects with the help of key points, bounding boxes or polygons and label marked areas with corresponding tags.
An overview of our AI training data services can be found here: AI Datasets for Machine Learning
Find answers to the most frequently asked questions on video recognition datasets and on our solution at clickworker.
For any further questions do not hesitate to contact our Service Team.
Video recognition machine learning is a process that can automatically identify and classify objects in videos. Video recognition machine learning uses computer vision to find specific features of the video that are meaningful for classification.
Since the process of machine learning is highly data intensive, video datasets are needed to train algorithms. The more sample clips that can be sampled and used for training an algorithm, the better the quality and accuracy of the algorithm.
A video dataset is a collection of videos that can be used to train machine learning algorithms. A great set of videos will have sufficient variety, from different languages and topics within the field. Machine learning can process a wide variety of data, including videos and is able to make sense out of the vast amount of information that comes in by separating important factors from noise. The machine learning algorithm is able to identify the most important factors that are not easily identifiable by humans.
A machine learning video analysis is a technique where computers are trained to automatically recognize and understand the content of videos. This allows for a much faster, more accurate way of assessing whether or not a video is appropriate for a particular audience. Such automation has the advantage of speed and accuracy.
