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Most of the proposed methods are based on pre-training classifiers using abundant manually labeled data.
Based on this observation, we propose an online-learning hand segmentation approach without using manually labeled data for training.
Based on this manually labeled data set, we investigated a classification accuracy of 95±1%1%.
We detected thousands of synapses in these images and demonstrate the accuracy of our approach using cross-validation with manually labeled data and by comparing against existing algorithms and against tools that process standard electron microscopy images.
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"Compared to classical Machine Learning, Deep Learning significantly reduces the need for manually labelled data, and makes it easier to 'hop' from one language to another, or even from text to image and vice versa, without losing a lot of information," he adds.
The performance of traditional hand segmentation methods depend on abundant manually labeled training data.
As was pointed out earlier, the RSS scans are manually labeled during data acquisition.
However, fully supervised learning usually requires a mass of manually labeled training data, which limits the scalability to more realistic open-world applications.
A supervised learning-based CLM, that is, the correspondences of pairs of individuals across every adjacent camera-pair are known in advance based on manually labeled training data, which can then be used to train a CLM.
Besides that, users are also requested to manually annotate or provide a few labeled data [166, 167] or generate of hand-crafted rules [168, 169].
The ground truths (GTs) of taillight locations, vehicle types, and color classes were manually labeled in the data set.
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manually marked data
manually recorded data
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manually pulled data
manually tagged data
manually labeled keyphrases
manually gathered data
manually constructed data
manually extracted data
manually collected data
manually driven data
manually labeled examples
manually labeled phrases
manually scaled data
manually labeled images
manually labeled efforts
manually labeled endpoints
manually curated data
manually entered data
manually labeled annotations
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