Ready-to-use AI models for people, vehicles, safety, logistics and more — drop them into any pipeline, or bring your own.
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51 models
classificationClassify objects or regions using natural-language text prompts — no training data required.
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detectionDetect objects straight from a natural-language text prompt, matched against what's in the frame — no custom training required.
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generativeRun vision-language models like GPT-4o, Claude, Gemini and Llama on a region or object to answer questions and extract structured data from video.
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classificationThis model can be used to identify the color of automobiles
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classificationThis model can be used to identify the make of automobiles
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classificationThis model can be use to identify the type of vehicles
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detectionThis model detects faces.
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classificationThis model identifies if a person is wearing a mask or not.
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detectionThis model detect vehicles, bicycles, and pedestrians.
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detectionThis model detects people, bags and faces.
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detectionDetects (but does not read) license plates.
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detectionThis model can detect if a person is wearing a hardhat or not.
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detectionThis model detects a possible fire. Note : The model is not 100% accurate in detecting the presence or absence of fires.
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classificationThis model can be connected to a face detector and tries to classify the person gender
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classificationThis model can be connected to a face detector and tries to classify the person age
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detectionThis model detect vehicles, bicycles, and pedestrians. Its use is intended for cameras fitted on dash
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detectionThis model detect faces. Its use is intended for infrared cameras
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detectionThis model was trained for detect vehicles in cameras with high vantage point.
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PreviewdetectionDetects hands at short distance (ideally at less than 4 meters from the camera)
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detectionDetects heads, particularly useful for people counting in crowded environments
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PreviewdetectionThis model was trained for detect vehicles in cameras with low vantage point.
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detectionDetects Forklifts
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classificationDetects License Plates in images and recognizes text on the license plate.
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detectionDetects masks, faces, caps, etc.
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detectionDetect full bodies and heads of people in crowds
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detectionDetects human body poses
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classificationReidentify vehicles by generating a unique signature for each vehicle.
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otherReidentify people by generating a unique signature for each person.
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detectionPeople detection model trained on 360 and fisheye cameras. Reference: 2041-yolov5s-800-rotation
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otherFace Reidentification model
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classificationFace Pose estimation model
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detectionDetect 80 different classes of objects with over 60% accuracy (lightweight version)
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PreviewdetectionDetects 1D barcodes & QR codes
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classificationPerforms the assessment of offensive content, classifying images as 'neutral', 'sexy' or 'porn'
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detectionDetect heads of people in high density crowds such as stadiums and events. Requires custom parser - see High Density Crowd Counting template for example.
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classificationThis model can be connected to a face detector and tries to classify the person age
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detectionLogistics and warehouse model. Detects 20 different objects typically found in warehouses including people, forklifts, pallets and more. This is the smaller, faster variant.
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detectionLogistics and warehouse model. Detects 20 different objects typically found in warehouses including people, forklifts, pallets and more. This is the medium variant, slower than small but more accurate.
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detectionDetects PPE for worker safety : Hard hats, Safety vests, Gloves, Safety shoes, Persons and Heads
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detectionAlternate fire detection model. This model detects a possible fire. Note : The model is not 100% accurate in detecting the presence or absence of fires.
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classificationHigher accuracy License plate recognition model that works better for oblique angles.
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detectionDetect 80 different classes of objects with over 60% accuracy (medium version)
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detectionDetect 80 different classes of objects with over 60% accuracy (larger version)
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classificationThis model identifies if a person is an adult or a child
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detectionDetect 365 different classes of objects with over 60% accuracy (requires JetPack >= 6.1 for Jetson deployments)
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classificationThis model classifies vehicles as ambulance, fire truck, police, or regular (non-emergency) vehicles
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PreviewdetectionDetects guns, with labels big_gun and small_gun.
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detectionDetect 80 different classes of objects with over 60% accuracy (requires JetPack >= 6.1 for Jetson deployments)
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classificationThis model classifies a person’s outfit by detecting the color and type of their top and bottom clothing
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classificationThis model classifies emergency and non-emergency (regular) vehicles
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