Top Path Computer Vision Models
The models below have been fine-tuned for various path 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 path detection model.
At the bottom of this page, we have guides on how to count paths in images and videos.
1462 images 10 classes
106 images 3398 classes
by Cogniquest
457 images 48 classes
Atmospheric pressure limitation Authorized Representative Batch Code Biological risks Catalogue Number Caution Consult instructions Contains Latex Contains sufficient for <n> tests Control Date of Manufacture Do not resterilize Do not reuse Do not use if package is damaged Drops per milliliter Fluid Path For IVD perfomance evaluation only Fragile Handle with care Humidity Limitation In vitro Diagnostic Medical device
339 images 7 classes
by Esher Art
258 images 258 classes
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
by Aaron
891 images 128 classes
220 images 43 classes