awesome-python-for-data-science

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Explore this comprehensive flowchart illustrating the architecture for developing a state-of-the-art fire detection model. This meticulously crafted guide follows a step-by-step methodology, providing clarity in the code development process for efficient object detection tasks.

This is a self-supervised technique. This technique leverages the use of pseudo-labeling to learn feature representations in the image data before fine-tuning on label dataset for specific tasks and transferring the learning to downstream tasks.