Related Objects of Interest: changan karvaan 2019, changan m9 2018, faw v2 2014, foton m280 2016, hino m500fg8j 2001, honda vezel 2013, hyundia santro 1998, jac mx200 2019, license, mazda t3500g2 1980
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Top 980 Datasets and Models
The datasets below can be used to train fine-tuned models for 980 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 980 datasets below.
by Nadia Baig
1429 images 30 classes
license Bedford Dumper 1989 Changan Karvaan 2019 Changan M9 2018 Faw V2 2014 Foton M280 2016 Hino M500FG8J 2001 Hino WindRanger 980 Honda Accord 2002 Honda BRV 2017 Honda City 2002 Honda City 2009 Honda Civic 2005 Honda Civic 2001 Honda Civic 2012 Honda Civic 2015 Honda FIT 2007 Honda FIT 2013 Honda Vezel 2013 Hyundia Santro 1998
45 images 2069 classes
mask person -0-0 -100-64878048780469 -1000-0022505626407 -1000-1762127875611 -1000-8264462809908 -1001-0032508127034 -1001-8777110212488 -1002-3880414131419 -1003-4712241544406 -1003-5545789548756 -1003-9399267094751 -1005-1809269702934 -1005-4692262573712 -1007-4300071058922 -1008-9999999999981 -1009-4100906134347 -1009-4150672768247 -1009-6934516720788
8204 images 13197 classes
by check
6534 images 129 classes
car license Bus Car-Double Cabin-:Toyota Hilux Car-HatchBack- Car-HatchBack-:Daihatsu Charade Car-HatchBack-:Daihatsu Coure Car-HatchBack-:Daihatsu Mira Car-HatchBack-:Daihatsu Move Car-HatchBack-:Faw Car-HatchBack-:Honda FIT 2013 Car-HatchBack-:Honda Fit Car-HatchBack-:Honda NBox Car-HatchBack-:Honda Nwgn Car-HatchBack-:Hyundai Santro Car-HatchBack-:Mitsubishi Ek Wagon Car-HatchBack-:Suzuki APV Car-HatchBack-:Suzuki Alto Car-HatchBack-:Suzuki Alto-Japanese Car-HatchBack-:Suzuki Cultus
by Nadia Baig
6364 images 129 classes
car license Bus Car(Double Cabin):Toyota Hilux Car(HatchBack) Car(HatchBack):Daihatsu Charade Car(HatchBack):Daihatsu Coure Car(HatchBack):Daihatsu Mira Car(HatchBack):Daihatsu Move Car(HatchBack):Faw Car(HatchBack):Honda FIT 2013 Car(HatchBack):Honda Fit Car(HatchBack):Honda NBox Car(HatchBack):Honda Nwgn Car(HatchBack):Hyundai Santro Car(HatchBack):Mitsubishi Ek Wagon Car(HatchBack):Suzuki APV Car(HatchBack):Suzuki Alto Car(HatchBack):Suzuki Alto-Japanese Car(HatchBack):Suzuki Cultus
66 images 57 classes
66 images 57 classes
212 images 4 classes
by Project
6373 images 168 classes
bike car license Bedford Dumper 1989 Bus Car(HatchBack):Daihatsu Charade Car(HatchBack):Daihatsu Coure Car(HatchBack):Daihatsu Move Car(HatchBack):Faw Car(HatchBack):Honda Fit Car(HatchBack):Honda NBox Car(HatchBack):Honda Nwgn Car(HatchBack):Hyundai Santro Car(HatchBack):Mitsubishi Ek Wagon Car(HatchBack):Suzuki APV Car(HatchBack):Suzuki Alto Car(HatchBack):Suzuki Alto-Japanese Car(HatchBack):Suzuki Cultus Car(HatchBack):Suzuki Every Car(HatchBack):Suzuki FX
by Project
6370 images 131 classes
car license Bedford Dumper 1989 Bus Car-HatchBack Car-HatchBack-:Daihatsu Charade Car-HatchBack-:Daihatsu Coure Car-HatchBack-:Daihatsu Move Car-HatchBack-:Faw Car-HatchBack-:Honda Fit Car-HatchBack-:Honda NBox Car-HatchBack-:Honda Nwgn Car-HatchBack-:Hyundai Santro Car-HatchBack-:Mitsubishi Ek Wagon Car-HatchBack-:Nissan Car-HatchBack-:SUZUKI Every Car-HatchBack-:Suzuki APV Car-HatchBack-:Suzuki Alto Car-HatchBack-:Suzuki Alto-Japanese Car-HatchBack-:Suzuki Cultus
by Traffic
1958 images 1876 classes
* 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 time 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101
529 images 4201 classes
* 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 time 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101 1010
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