AI Classifiers and Car Detection for Automated Image Editing




In the twenty-first century, automotive photography is crucial for dealerships. When comparing automobile possibilities online, about 69% of customers regard high-quality car images to be essential, while 26% think they’re only fairly relevant. Traditional (manual) methods for photographing vehicles are cumbersome, time-consuming, and expensive. Artificial intelligence (AI) can help you tremendously in this situation by automating some of the work and helping you through the remaining portions. Car detection is the initial step in that process. Once the AI is finished, altering images is a breeze!

In the context of automated image editing, let’s define vehicle object identification and discuss what happens next.

Car Detection: What Is It?

 

Without the need for human participation, artificial intelligence (AI) can determine if an object in an image is an automobile or not. A dataset that includes pictures of both automobiles and non-vehicle items is used to train the machine. Up until it can do so with high accuracy on its own, it is given a lot of photos and told which objects are cars and which are not.

 

Defining Car Detection

 

Auto image editing is made easier and more seamless with the aid of car object identification. Once the AI detects a vehicle, it can quickly delete the default background and install a fresh, personalized one. It can also perform maintenance on the vehicle, such as tinting the windows to block out reflections, adjusting the tilt, and monitoring the cleanliness of the vehicle. To increase the machine’s detection and classification precision, you can train it with additional datasets, such as the vehicle classification dataset. Consequently, even the car segment would be recognized by the AI!

 

SimpSocial’s Car Detection Model

 

The next step is provided by SimpSocial’s car detection image processing model. Our AI-powered editing platforms come with an iOS and Android mobile app and a web browser extension called Darkroom. Automated image editing is a feature of both Darkroom and the smartphone app, with the latter also providing AI-assisted photoshoots.

SimpSocial’s Car Detection Model

 

To provide you with the greatest image for your digital car collections, 35+ different APIs review every image you send to SimpSocial. Additionally, you can use our platform in its current state or specific APIs, depending on your needs. You can create your own white-label app using our software development kit.

Car Detection and Classification Procedures

 

Let’s examine some of the capabilities of SimpSocial’s AI-powered vehicle detection and classification system.

 

Car Classifier: It identifies cars in images and determines whether or not they are there. It is both an integrated part of SimpSocial’s Virtual Car Studio and a standalone API.

 

Car Type Classifier: It categorizes the vehicle as a sedan, SUV, hatchback, or pickup truck according to SimpSocial’s vehicle classification table.

 

It determines which aspect of the car is being photographed and categorizes the shoot as an interior shoot, an exterior shoot, or something else entirely.

 

Car Shoot Interior Classifier: It recognizes the various interior elements in the image, such as a dashboard or odometer.

 

Determines whether or not the car’s windows have been tinted using the Tint Classifier.

 

Window masking: To get rid of reflections, mask the automobile windows in the image.

 

Checks whether the car’s windows are see-through using the window see-through masking feature.

 

This function determines whether the car doors are open.

 

Determines whether the object in the image is a tire using the tire detection classifier.

 

Number Plate Detection and Extraction: This API finds the car object’s license plate.

 

Number Plate Masking hides the vehicle’s license plate in the image and replaces it with a personalized virtual plate.

 

Angle detection: This function determines the car’s angle with respect to the camera.

 

Crop Detection: This feature determines whether or not the car is in the image and whether it has been cropped.

 

Distance Detection: Using this API, the location of the car in relation to the camera that took the photo of it is automatically determined.

 

Exposure detection: This feature evaluates the image’s brightness.

 

Exposure correction: This process adjusts the brightness of the image, automatically adjusting bright or dark photographs.

 

Reflection Classifier: Looks to see if there is any reflection of a nearby object, like a tree or power pole, on the car.

 

Reflection Correction: This function fixes any reflections on the car’s body that may be visible in the image.

 

Car Is Clean: This API determines whether the car body is clean or covered in muck.

 

Checks to see if there is mud on the car’s tires in the image using the Tire Mud Classifier.

 

Tilt Classifier: Determines whether the car is skewed to one side in the image.

 

Removes the original background from photographs taken of the outside of an automobile.

 

Interior Background Removal: This feature takes the background out of interior automobile shots.

 

Removes backgrounds from all additional photographs of the car with the Miscellaneous Background Removal feature.

 

Creates a virtual floor beneath the car to give the picture a realistic appearance. Also offers options for floor shadows.

 

Placing your dealership’s logo in the image is made easier with the help of this tool.

 

Tire Reflection: For a realistic appearance, this produces a reflection of the tires on the computerized floor.

 

Watermarks: Verify whether the image has any watermarks.

 

Removes any watermarks that might be present in the image.

 

Diagnose Image: This function checks the image’s aspect ratio, size, and resolution for any problems.

 

Super Resolution: Increases image resolution in accordance with the needs of your dealership’s website or online marketplace.

 

Aspect Ratio: Using super-resolution, this function allows you to change the aspect ratio of the image to suit your demands.

 

DPI: Depending on your needs, this feature will increase or decrease the DPI (Dots Per Inch) using super-resolution.

 

Further Parameter Corrects the resolution, size, and aspect ratio of the image.

 

To create an interactive 360° spin view, the video trimmer generates frames from a 360° automobile movie.

 

This API determines whether or not the wipers on the car in the image are lifted.

 

Checks for any object obstructions that might be in the way of the car and limit visibility.

 

Images That Are Blurry, Stretched, or Distorted: This API determines whether the image or the car is blurry or meets the required quality criteria.

Application of Car Object Detection in the Real World

 

The SimpSocial app can obtain photos of studio quality for your online showrooms. The app offers a guided photoshoot that instructs you on what angle to take the car from. Additionally, the automatic validation feature will let you know if you need to retake the shot or if it may be modified.

 

Car Object Detection Use Case

To make adjustments, such as background replacement, window tinting, number plate masking, logo positioning, etc., upload the image to the virtual studio. Additionally, the virtual studio uses automobile detection image processing to pinpoint the location of the background in the image and determine how to replace it. The technology can alter a vehicle’s windows, license plates, tires, and other features after identifying it in a picture. With the help of AI, you can quickly change large groups of photographs, and the system keeps track of your preferences so that your library always looks the same.

SimpSocial AI Car Detection’s advantages

 

Replacement of the SimpSocial AI Car backdrop

 

To develop high-quality car photographs for your online car inventory, SimpSocial’s AI photo enhancer technology offers the following advantages:

It is quick: Every retailer wishes for a quicker response time. Additionally, AI photo editing software fulfills these fantasies by having the capacity to quickly process hundreds of images.

 

It is affordable: AI photo enhancers will enable you to make significant financial savings. Not only does it reduce labor costs associated with image editing, but it can also lower the cost of car photography.

 

Allows bulk editing at once: When the unimpressive background clashes with your expectations for a professional vehicle photoshoot, it’s time to start a marathon editing session or even think about reshooting! This only takes a few minutes with AI editing.

 

Accuracy and Consistency: AI editors save the day by removing and altering the backdrop, altering colors, adding shadows, and satisfying all other necessary editing requirements. When using AI photo enhancers, you may receive 100% accuracy without the risk of human error or inconsistently modified photographs, in contrast to manual editing where accuracy and consistency depend on the editor.

 

Conclusion

 

Online users occasionally have attention spans that are on par with goldfish. It would be hard to capture their interest and turn them into customers without creative automotive graphics. Additionally, using manual techniques to create powerful images results in several bottlenecks. The automated automobile photo shoot by SimpSocial starts with car detection and ensures hassle-free next-generation vehicle photography.






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