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aap9002/RGB_Optic_Flow_Bend_Classification

Data Viewer - View Samples Data Viewer - View Sample Count In our project on classifying the sharpness of bends using time-sequence data, we generated two distinct datasets: RGB Images: Capturing conventional color information. Wide View Dense Optic Flow: Providing detailed motion dynamics. Notably, our latest dataset required approximately 16 hours to generate the samples using the code available in this GitHub notebook. To enhance organization and accessibility, we have migrated the… See the full description on the dataset page: https://huggingface.co/datasets/aap9002/RGB_Optic_Flow_Bend_Classification.

sourceHugging Facemitupdated 1y agoView on Hugging Face

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dirmodels/

file.gitattributes2 KBdownload

fileof_temp.zip1.63 GBdownload

fileREADME.md1 KBdownload

fileRGB_OF_LARGE.zip1.68 GBdownload

fileRGB_OPTIC_FLOW_LARGE_V1.zip3.88 GBdownload

fileRGB_OPTIC_FLOW_SMALL_V1.zip2.07 GBdownload

fileRGB_OPTIC_FLOW_U_V_LARGE.zip3.61 GBdownload

fileRGB_OPTIC_FLOW_U_V_SMALL.zip1.73 GBdownload

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