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Related Objects of Interest: glass , metal , plastic , battery , carton , tissu , wood , aerosol , aluminium blister pack , aluminium foil
Top Other Computer Vision Models
The models below have been fine-tuned for various other 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 other detection model.
At the bottom of this page, we have guides on how to count others in images and videos.
825 images 4 classes 1 model
222 images 6 classes 1 model
27 images 21 classes 2 models
1.2k images 10 classes 2 models
2.8k images 64 classes 2 models
750 images 12 classes 1 model
1k images 9 classes 3 models
249 images 8 classes 1 model
1.5k images 59 classes 1 model
1.6k images 59 classes 1 model
2.4k images 2 classes 2 models
40 images 11 classes 3 models
2.8k images 64 classes 1 model
2k images 2 classes 1 model
258 images 258 classes 1 model
E101-MC-Escher-No-101-Lizards-1956 E104-MC-Escher-No-104-Lizard-1959 E105-MC-Escher-No-105-Pegasus-1959 E107-MC-Escher-No-107-Fish-1960 E109-MC-Escher-No-109-Creeping-Creature-1961 E11-MC-Escher-No-11-Sea-Horse-1937-1938 E110-MC-Escher-No-110-BirdFish-1961 E124-MC-Escher-No-124-Lizard-1965 E126-MC-Escher-No-126-FishBird-1967 E15-MC-Escher-No-15-Lizard-1937 E17-MC-Escher-No-17-Eagle-1938 E18-MC-Escher-No-18-Two-Birds-1938 E20-MC-Escher-No-20-Fish-1938 E21-MC-Escher-No-21-IMP-1938 E22-MC-Escher-No-22-BirdFish-1938 E25-MC-Escher-No-25-Lizard-1939 E28-MC-Escher-No-28-Three-Birds-1938 E34-MC-Escher-No-34-BirdFish-1941 E34B-MC-Escher-No-34B-BirdFish-1941 E38-MC-Escher-No-38-Dragonfly-1941
2.1k images 8 classes 1 model
960 images 6 classes 3 models
58 images 4 classes 2 models
150 images 5 classes 1 model
142 images 8 classes 1 model
4k images 15 classes 3 models
565 images 8 classes 2 models
1.5k images 43 classes 2 models
animals (danger) bend (danger) bend left (danger) bend right (danger) construction (danger) cycles crossing (danger) danger (danger) give way (other) go left (mandatory) go left or straight (mandatory) go right (mandatory) go right or straight (mandatory) go straight (mandatory) keep left (mandatory) keep right (mandatory) no entry (other) no overtaking (prohibitory) no overtaking (trucks) (prohibitory) no traffic both ways (prohibitory) no trucks (prohibitory)
201 images 2 classes 1 model
1k images 5 classes 1 model