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Related Objects of Interest: * annotate, and create datasets , * auto-orientation of pixel data (with exif-orientation stripping) , * collaborate with your team on computer vision projects , * collect & organize images , * export, train, and deploy computer vision models , * understand and search unstructured image data , * use active learning to improve your dataset over time , ============================== , for state of the art computer vision training notebooks you can use with this dataset, , the following pre-processing was applied to each image:
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Top 1693 Datasets and Models
The datasets below can be used to train fine-tuned models for 1693 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the 1693 datasets below.
1958 images
* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 416x416 (Stretch)* annotate, and create datasets* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand and search unstructured image data* use active learning to improve your dataset over time1001000100110021003100410051006100710081009101
800 images
* 50% probability of horizontal flip* 50% probability of vertical flip* Auto-orientation of pixel data (with EXIF-orientation stripping)* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down* Random rotation of between -11 and +11 degrees* Random shear of between -15° to +15° horizontally and -15° to +15° vertically* Resize to 640x640 (Stretch)* Salt and pepper noise was applied to 5 percent of pixels* annotate, and create datasets* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand and search unstructured image data* use active learning to improve your dataset over time10010001001100210031004
623 images1 model
1063 1800 1055 1672 1226 1669 1239 1793 plane 01595 2603 1450 2500 1547 2364 1693 2477 plane 02150 2609 2065 2578 2106 2498 2183 2538 plane 02326 2639 2230 2582 2291 2501 2373 2560 plane 02380 2810 2384 2700 2525 2707 2514 2810 plane 02427 2715 2430 2653 2506 2653 2498 2715 plane 02432 2615 2438 2538 2505 2537 2500 2622 plane 0359 663 369 497 543 509 531 677 plane 0540 884 363 862 392 674 570 695 plane 0788 844 734 701 916 631 970 762 plane 0813 1368 889 1112 1162 1170 1086 1426 plane 0937 1027 1012 1005 1028 1081 956 1093 plane 0937 1220 783 1188 828 1011 960 1050 plane 0gsd:0.242183449549imagesource:GoogleEarth
529 images1 model
* Auto-orientation of pixel data (with EXIF-orientation stripping)* annotate, and create datasets* collaborate with your team on computer vision projects* collect & organize images* export, train, and deploy computer vision models* understand and search unstructured image data* use active learning to improve your dataset over time10010001001100210031004100510061007100810091011010
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