Librosa is a versatile Python library that empowers researchers, data scientists, and engineers to explore and manipulate audio data with ease. It provides a range of tools and functions that simplify the complexities of audio analysis, making it accessible to …
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First, let us understand some basic terminology in audio data analysis: So, RMS energy is a way to take the raw amplitudes of an audio signal, square them to focus on their intensity, find the average of these squared values, …
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The integration of audio analysis with other data types allows for the development of comprehensive AI applications that leverage multiple modalities. Here are some real-world applications where the integration of audio analysis with other data types is beneficial: Integration: We …
Real-life applications for labeling audio data – Exploring Audio Data-2 Read more »
Audio data is utilized in various real-life applications across industries. Here are some examples of how audio data is leveraged in machine learning and AI: Student researcher and Rise Global Winner Chandra Suda invented a tool in 2023 for screening …
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The field of video data labeling and classification is rapidly evolving, with continuous advancements. Generative AI can be applied to video data analysis and labeling in various use cases, providing innovative solutions and enhancing automation. Here are some potential applications: …
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Time complexity: The basic Watershed algorithm has a time complexity of O(N log N), where N is the number of pixels in the image. This complexity arises from the sorting operations involved in processing the image gradient. Space complexity: The …
The overall purpose of these steps is to preprocess the image and create a binary image (sure_bg) that serves as a basis for further steps in the watershed algorithm. It helps to distinguish the background from potential foreground objects, contributing …
In this example code, we will implement the following steps: Let’s read the video data from the input directory, extract the frames for the video, and then print the original video frame: video_path = “/datasets/Ch9/Kinetics/dance/dance3.mp4”Check if the file existsif os.path.exists(video_path):cap …
The Watershed algorithm is a popular technique used for image segmentation, and it can be adapted to label video data as well. It is particularly effective in segmenting complex images with irregular boundaries and overlapping objects. Inspired by the natural …
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The choice of loss function, whether it’s binary cross-entropy (BCE) or mean squared error (MSE), depends on the nature of the problem you’re trying to solve with an autoencoder. BCE is commonly used when the output of the autoencoder is …
A hands-on example to label video data using autoencoders – Labeling Video Data-2 Read more »