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your sample robotics environment where our wood faces are tabletop containing videos daily objects goal is to identify various daily objects in Project scenes our approach for this is object classification using cushioned learning the existing feature data sets in the literature as shown here with the corresponding characteristics data sets Android process fine-grained classes and are not suitable for object learning these datasets were not designed for tasks involving daily objects in robotic environments the aim is still on good representations of daily objects using few examples in general as well around syn objects to create manipulation tasks in robotic environments like moving utensils or objects in a kitchen a propose solution is few Soul a data set for future object learning in robotics environment a data capture process with a Franca Amica pandem is shown in this video nine images of a mustard bottle from different views are taken similarly a data set consists of 336 Real Worl