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== Results == | == Results == | ||
The network was tested on a separate part of the dataset, that had not been presented to the network. The best performing model achieved an accuracy of 0.91832, a precision of 0.91333, a recall value of 0.91832 and finally an f1-score of 0.91521. These metrics indicate a very high performance of the network for this particular task; the following table presents the complete training, validation and testing results. | The network was tested on a separate part of the dataset, that had not been presented to the network. The best performing model achieved an accuracy of 0.91832, a precision of 0.91333, a recall value of 0.91832, and finally an f1-score of 0.91521. These metrics indicate a very high performance of the network for this particular task; the following table presents the complete training, validation, and testing results. | ||
{| class="wikitable" style="margin-left: auto; margin-right: auto; border: none;" | {| class="wikitable" style="margin-left: auto; margin-right: auto; border: none;" | ||
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</gallery> | </gallery> | ||
Finally the inference demo below shows a gif of the assembly process under inference; it displays the top prediction for the sample as well as the associated softmax value. This inference process has a threshold of 0.5 meaning that if none of the softmax values achieve a 50% value, then no activity is recognized. | Finally, the inference demo below shows a gif of the assembly process under inference; it displays the top prediction for the sample as well as the associated softmax value. This inference process has a threshold of 0.5 meaning that if none of the softmax values achieve a 50% value, then no activity is recognized. | ||
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[[File:assembly-inference-results.gif|700px|center|thumb|Assembly inference results]] | [[File:assembly-inference-results.gif|700px|center|thumb|Assembly inference results]] | ||