Fire Detection with Self Supervised Learning Technique Flowchart #34
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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.