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Top Wrong Computer Vision Models
The models below have been fine-tuned for various wrong 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 wrong detection model.
At the bottom of this page, we have guides on how to count wrongs in images and videos.
2.3k images 33 classes 1 model
2k images 12 classes 2 models
Label:-No---Cap:-No---Filled:-No Label:-No---Cap:-No---Filled:-Yes Label:-No---Cap:-Yes---Filled:-No Label:-No---Cap:-Yes---Filled:-Yes Label:-Wrong---Cap:-No---Filled:-No Label:-Wrong---Cap:-No---Filled:-Yes Label:-Wrong---Cap:-Yes---Filled:-No Label:-Wrong---Cap:-Yes---Filled:-Yes Label:-Yes---Cap:-No---Filled:-No Label:-Yes---Cap:-No---Filled:-Yes Label:-Yes---Cap:-Yes---Filled:-No Label:-Yes---Cap:-Yes---Filled:-Yes
673 images 136 classes 8 models
36 images 5 classes 2 models
977 images 6 classes 2 models
909 images 8 classes 1 model
704 images 5 classes 1 model
Risk point：Several vehicles are parked in non-parking areas. Risk point：The presence of motorcycles and bicycles within the same lanes as cars. Risk-point:There-are-pedestrians-walking-and-crossing-the-road-in-between-cars. Risk-point：Some-vehicles-appear-to-be-driving-in-the-wrong-direction. Risk-point：The-high-density-of-vehicles-can-lead-to-congestion.
3.2k images 10 classes 1 model
6.8k images 10 classes 1 model
310 images 9 classes 1 model
263 images 8 classes 2 models
559 images 47 classes 2 models
Batch number is present and placed correctly Bubble Patterns Container developed by 3rd Party Correct Barcode format Correct details of bottle manufacturer Correct details on the back of the container Counterfeit Darker cap color Darker coloration of packaging Darker print label Deep Blueish coloration of packaging Deep Cap Color Dents Detailed design and ridges of the cap Detailed emboss of Labels Detailed ridges on the grip Fill marking is not reached Genuine Glossy and high quality print label Golden Brown Print Label
75 images 5 classes 1 model
79 images 2 classes 3 models
506 images 2 classes 1 model
665 images 3 classes 2 models
261 images 8 classes 3 models
41 images 26 classes 2 models
Bearing-Stopper-Plate-Assembly-Correct Bearing-Stopper-Plate-Assembly-Wrong Drum-Change-Correct Drum-Change-Wrong Hand Input Shaft Assembly Wrong Input-Fork-Correct Input-Fork-Shaft-Correct Input-Fork-Shaft-Wrong Input-Fork-Wrong Input-Shaft-Assembly-Correct JU-JG-MY21-SUCCESS Not Required Output Fork 01 Wrong Output Fork 02 Wrong Output Fork Shaft Spring Wrong Output Shaft Assembly Wrong Output-Fork-01-Correct Output-Fork-02-Correct Output-Fork-Shaft-&-Spring-Correct
248 images 221 classes 2 models
43 images 6 classes 1 model
261 images 8 classes 1 model
81 images 46 classes 2 models
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