Data Set: Evaluation of Domain Randomization Techniques for Transfer Learning - Part 0
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<strong>Transfer Learning Data Set:</strong><br> The total data set contains <strong>1.44m synthetic images</strong> and <strong>10k real-world images </strong>of size 299x224. Due to file size limitation, the data set is split into two sets. <strong>This data set</strong> (part 0: DOI 10.5281/zenodo.2581311) contains the real-world images and the synthetic images of perspective 00. The second part (part 1: DOI 10.5281/zenodo.2581469) contains perspective 01 and 10 of the synthetic images. <strong>1. 10k real world images</strong><br> the filename labels the image:<br> -first 6 digits represent the id.<br> -8. digit labels the grasp: 0 -> no grasp, 1 -> grasp<br> -10. digit is empty (reserved for 2nd perspective)<br> -12. digit labels the graspbox: 0 -> green box, 1 -> yellow box<br> -14. digit labels the distractors : 0 -> no distractors, 1 -> distractors<br> -c in the end stands for acolor image, d is reserved for depth (not in use).<br> <br> <strong>2. 1.44m synthetic images</strong><br> the folder labels the enabled technique:<br> -first 2 digits label the perspective: 00 -> standard, 01 -> shake, 10 -> random<br> -3. digit labels the graspbox: 0 -> defaul green box, 1 -> random box<br> -4. digit labels the distractors: 0 -> no distractors, 1 -> distractors<br> -5. digit labels the lighting: 0 -> default lighting, 1 -> random lighting<br> -6. digit labels the mesh randomization: 0 -> default mesh color, 1 -> random mesh color<br> <br> the filename consists of 3 parts:<br> -first 6 digits represent the id.<br> -8. digit labels the grasp: 0 -> no grasp, 1 -> grasp<br> -10.-15. digit equals the folder name and represents the enabled technique<br> -c in the end stands for a color image, d is reserved for depth (not in use).
