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Top 1792 Computer Vision Models
The models below have been fine-tuned for various 1792 detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own 1792 detection model.
At the bottom of this page, we have guides on how to count 1792s in images and videos.
by saumil patel
9842 images 438 classes
1792 BOTTLED IN BOND 750ML 1792 FULL PROOF 750ML 1792 SMALL BATCH 750ML 1792 SWEET WHEAT 750ML 1800-COCONUT-TEQUILA-750ML 1800-CRISTALINO-ANEJO-750ML 1800-SILVER-BLANCO-TEQUILA-750ML 21-SEEDS-CUCUMBER-JALAPENO-TEQUILA-750ML 21-SEEDS-GRAPEFRUIT-HIBISCUS-TEQUILA-750ML 21-SEEDS-VALENCIA-ORANGE-TEQUILA-750ML 360 BLUE RASPBERRY 50ML 360 PINEAPPLE 50ML 99 APPLE 100ML 99 APPLE 50 ML 99 BANANAS 100ML 99 BANANAS 50ML 99 BLUE RASPBERRY 50 ML 99 BUTTERSCOTCH 100ML 99 CHERRY LIMEADE 50ML 99 CHOCOLATE 50ML
by Self
9632 images 388 classes
1792 BOTTLED IN BOND 750ML 1792 FULL PROOF 750ML 1792 SMALL BATCH 750ML 1792 SWEET WHEAT 750ML 1800-COCONUT-TEQUILA-750ML 1800-CRISTALINO-ANEJO-750ML 1800-SILVER-BLANCO-TEQUILA-750ML 360 BLUE RASPBERRY 50ML 360 PINEAPPLE 50ML 99 APPLE 100ML 99 APPLE 50 ML 99 BANANAS 100ML 99 BANANAS 50ML 99 BLUE RASPBERRY 50 ML 99 BUTTERSCOTCH 100ML 99 CHERRY LIMEADE 50ML 99 CHOCOLATE 50ML 99 FRUIT PUNCH 50ML 99 GRAPES 100ML 99 MYSTERY FLAVOR 50ML
11946 images 430 classes
1792 BOTTLED IN BOND 750ML 1792 FULL PROOF 750ML 1792 SMALL BATCH 750ML 1792 SWEET WHEAT 750ML 1800-COCONUT-TEQUILA-750ML 1800-CRISTALINO-ANEJO-750ML 1800-SILVER-BLANCO-TEQUILA-750ML 3 FLOYDS BARMABUS 375ML 3 FLOYDS SANCTUS 375ML 360 BLUE RASPBERRY 50ML 360 PINEAPPLE 50ML 99 APPLE 100ML 99 APPLE 50 ML 99 BANANAS 100ML 99 BANANAS 50ML 99 BLUE RASPBERRY 50 ML 99 BUTTERSCOTCH 100ML 99 CHERRY LIMEADE 50ML 99 CHOCOLATE 50ML 99 FRUIT PUNCH 50ML
by shayan
7806 images 144 classes
25centUSA canada-1-cent-1858-1859 canada-1-cent-1881-1901 canada-1-cent-1902-1910 canada-1-cent-1911-1911 canada-1-cent-1912-1920 canada-1-cent-1920-1936 canada-1-cent-1937-1947 canada-1-cent-1948-1952 canada-1-cent-1953-1964 canada-1-cent-1965-1979 canada-1-cent-1980-1981 canada-1-cent-1982-1989 canada-1-cent-1990-1996 canada-1-cent-1992-1992 canada-1-cent-1997-2003 canada-1-cent-1999-2003 canada-1-cent-2002-2002 canada-1-cent-2003-2012 canada-1-dollar-1936-1936
by fast lhr
9727 images 179 classes
canada-1-cent-1858-1859 canada-1-cent-1881-1901 canada-1-cent-1902-1910 canada-1-cent-1911-1911 canada-1-cent-1912-1920 canada-1-cent-1920-1936 canada-1-cent-1937-1947 canada-1-cent-1948-1952 canada-1-cent-1953-1964 canada-1-cent-1965-1979 canada-1-cent-1980-1981 canada-1-cent-1982-1989 canada-1-cent-1990-1996 canada-1-cent-1992-1992 canada-1-cent-1997-2003 canada-1-cent-1999-2003 canada-1-cent-2002-2002 canada-1-cent-2003-2012 canada-1-dollar-1936-1936 canada-1-dollar-1937-1947
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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