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Top Makeup Computer Vision Models
The models below have been fine-tuned for various makeup 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 makeup detection model.
At the bottom of this page, we have guides on how to count makeups in images and videos.
by osmando
706 images 1342 classes
animal car drink mushroom rock wine glass 2 bottles on a rock next to fruit in front of orange background. 2 brown paper boxes in front of light brown background 2 cream bottles in front of blue tiles 2 macarons on a rock block in front of light orange background 3 black bottles next to yellow stairs and dry flower with shadow 3 blue bottles on blue plates next to dry nuts 3 bottles in front of light background with shadows 3 bottles in front of light brown background with shadows. 3 bottles in front of light gray background with shadows of a plant. 3 boxes in front of dark background 3 perfume bottles on reflective gray surface 4 paper boxes in front of light yellow background 4 potteries on a marble table 6 white bowls of spices on a wooden surface
105 images 18 classes
389 images 27 classes
by DATA270
528 images 16 classes
Adjusting radio Doing hair and makeup Drinking using left hand Drinking using right hand Fatigue and somnolence GPS operating Having picture Reaching behind Singing or dancing Smoking Talking phone using left hand Talking phone using right hand Talking to passenger Writing message using left hand Writing message using right hand safe-driving
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