With the advancements in artificial intelligence (AI) technology, product photography is being revolutionized like never before. AI-powered tools and techniques are enhancing the quality, efficiency, and overall experience of product photography. In this article, we will explore the top AI product photography trends to watch in 2023 and how they are shaping the future of e-commerce.

AI-Powered Image Editing Tools

AI-powered image editing tools are becoming increasingly popular in the field of product photography. These tools leverage machine learning algorithms to automatically enhance and retouch product images. From color correction to background removal, AI algorithms can quickly process and improve product photos, saving time and effort for photographers. With AI-powered image editing tools, product images can achieve a consistent and professional look.

Adobe Sensi
Adobe Sensei is an AI-powered image editing tool developed by Adobe. It utilizes machine learning algorithms to automate various editing tasks, including color correction, background removal, and object recognition. The tool offers advanced features like content-aware fill, intelligent upscaling, and auto-tagging, making it a powerful tool for professional photographers and graphic designers.
Luminar NEO by Skylum Photolemur
Skylum Photolemur is an AI-powered image editing tool designed to simplify the editing process. It automatically enhances images by adjusting exposure, color balance, and other parameters, using AI algorithms to analyze the image and apply the most suitable corrections. Photolemur's intuitive interface and one-click editing make it an excellent choice for beginners or photographers who want to save time without compromising on image quality.

Improved Image Compression Techniques

Image compression is essential for optimizing website performance and reducing page load times. AI-based image compression techniques are emerging as a trend in product photography. These techniques leverage machine learning algorithms to compress images without compromising their quality. By reducing file sizes, AI-powered image compression techniques help improve website speed, user experience, and search engine rankings.

Google's Guetzli
Guetzli is an open-source AI program developed by Google that focuses on producing high-quality compressed images. It employs a perceptual quality metric to optimize compression while preserving visual details. Guetzli can significantly reduce file sizes without noticeable degradation in image quality, making it an excellent choice for image compression.
BPG (Better Portable Graphics)
BPG is an AI-based image compression format developed by Fabrice Bellard. It utilizes the HEVC (High-Efficiency Video Coding) algorithm, which offers superior compression efficiency compared to traditional formats like JPEG and PNG. BPG leverages AI techniques to achieve better compression ratios while maintaining image quality.
Kraken.io
Kraken.io is an AI-powered image optimization service that focuses on reducing file sizes without sacrificing visual quality. It utilizes various algorithms and techniques, including AI-based image analysis, to intelligently optimize images for compression. Kraken.io supports batch processing, offers multiple compression options, and provides an easy-to-use API for seamless integration into your applications or workflows.

High-Quality Image Generation

AI technology is enabling the generation of high-quality product images without the need for extensive photoshoots. Generative AI models can create realistic product images based on existing data, eliminating the need for expensive and time-consuming traditional product photography. This trend allows businesses to rapidly create visual content for their products, accelerating the go-to-market process.

Automated Background Removal

Removing backgrounds from product images is a laborious task that can consume valuable time for photographers. AI algorithms can automate this process by accurately detecting the product and removing the background automatically. This trend enables product photographers to focus more on capturing stunning shots and less on post-processing tasks.

Remove.bg
Remove.bg is a popular online tool that uses AI technology to automatically remove backgrounds from images. With a simple and user-friendly interface, users can upload their images, and the AI algorithm quickly detects the foreground subject and removes the background. The tool is known for its accuracy and speed, making it a go-to choice for individuals and businesses looking to isolate subjects from their backgrounds.
Clipping Magic
Clipping Magic is another powerful tool for automated background removal. It uses AI algorithms to intelligently detect and separate foreground objects from the background. The tool provides users with easy-to-use controls to refine the selection and make adjustments as needed. Clipping Magic offers advanced features like hair and fur detection, making it a reliable choice for intricate subjects.

Enhanced Image Search and Tagging

With AI technology, image search and tagging are becoming more accurate and efficient. AI algorithms can analyze product images and automatically tag them with relevant keywords, making it easier for customers to find specific products. Enhanced image search capabilities enhance the user experience and drive better search engine optimization (SEO) for e-commerce websites.

Google Cloud Vision API
Google Cloud Vision API is a powerful tool that provides image recognition and analysis capabilities. It allows you to extract information from images, such as labels, faces, landmarks, and logos. With the Vision API, you can perform image search and tagging based on the detected objects, text, and other visual features in the images.
Microsoft Azure
Microsoft Azure Computer Vision API offers a range of features for image analysis and recognition. It includes image tagging, object detection, image captioning, and adult content moderation. The API can help you identify and categorize images based on their content, making it useful for enhanced image search and organization.
Clarifai
Clarifai is an AI-powered platform that specializes in image and video recognition. It offers various pre-built models for tasks like object detection, color extraction, and concept recognition. Clarifai enables you to tag and search images based on the identified objects and visual attributes. Additionally, it provides customization options, allowing you to train models specific to your image search needs.

Real-Time Image Analysis

Real-time image analysis is becoming increasingly important in product photography. AI algorithms can analyze product images in real-time, providing valuable insights and feedback to photographers. For example, AI algorithms can detect image quality issues, suggest composition improvements, or identify potential copyright violations. Real-time image analysis empowers photographers to capture the best shots and make adjustments on the fly, resulting in higher-quality product images.

OpenCV (Open Source Computer Vision Library)
OpenCV is a popular open-source library that provides a wide range of computer vision algorithms and functions. It includes various pre-trained models for tasks such as object detection, image segmentation, facial recognition, and more. OpenCV is widely used for real-time image analysis due to its extensive capabilities, performance optimization, and easy integration with different programming languages.
TensorFlow
TensorFlow is an open-source machine learning framework developed by Google. It offers a high-level API called TensorFlow Lite, which is specifically designed for running machine learning models on mobile and embedded devices. TensorFlow Lite allows you to deploy pre-trained models for real-time image analysis on resource-constrained devices, making it suitable for applications like mobile apps, IoT devices, and robotics.
AWS Rekognition
AWS Rekognition is a cloud-based AI service provided by Amazon Web Services. It offers a range of computer vision capabilities, including object and scene detection, facial analysis, text recognition, and content moderation. AWS Rekognition can be utilized for real-time image analysis by leveraging its API, which allows you to integrate the service into your applications or systems and process images in real-time.

Conclusion

The integration of AI technology in product photography is transforming the e-commerce landscape, providing businesses with innovative solutions to showcase their products and engage customers effectively. AI-powered image editing tools enhance the quality and consistency of product images, while high-quality image generation eliminates the need for extensive photoshoots. The developments that have already been made are remarkable and there are still plenty more to come.