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Top Behind Computer Vision Models
The models below have been fine-tuned for various behind 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 behind detection model.
At the bottom of this page, we have guides on how to count behinds 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
106 images 3398 classes
by kam
2109 images 39 classes
760 images 5 classes
264 images 167 classes
Actuator with manual actuated partial stroke test device. Actuator with remote actuated partial stroke test device Actuator with side-mounted handwheel. Actuator with top-mounted handwheel. Analyzer Transmitter And Gate Angle Valve Averaging Pitot Tube Backpressure regulator. Ball Valve Behind Control Behind a local Control Bellow Sealed Valve Bellow Spring opposed Actuator Butterfly Valve Check Valve Choke Valve Computer Control Valve Coroilis Flow Sensor
by Klinkenn
392 images 6 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
by IDRBT
134 images 30 classes
ATM ATM opened Attacker Hooded user (male) Inserting card Might have an object (hidden hand) Person Person assisting (spurious activity) Person bending Phone Physical Assault Physical Assault (male) Reaching behind ATM Safe Attempted to be opened Security (male) Setting up Phone (record pin) Stealing customer details (peeking) Threat (fight) USB Un-identifiable
904 images 8 classes
by bumpy
2319 images 7 classes
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