Our real-time AI-driven scanning compares your logo against existing trademarks, providing feedback to secure your brand's uniqueness. Our AI algorithms analyze your logo concept, offering instant feedback and suggesting design enhancements to elevate your …

易可图logo检测，依托先进的图像识别算法，一键在线检测识别图片品牌logo，降低图片违规侵权风险，支持批量检测图片品牌logo，简单易上手，让图片再无违规侵权风险！

In this work, we introduce LogoDet-3K, the largest logo detection dataset with full annotation, which has 3,000 logo categories, about 200,000 manually annotated logo objects and 158,652 images. LogoDet-3K creates a more challenging benchmark for logo detection, for its higher comprehensive coverage and wider variety in both logo categories and ...

DeepLogo2 provides a training and inference environment for creating brand logo detection models using DETR. DeepLogo2 use the flickr logos 27 dataset. The flickr logos 27 dataset contains 27 classes of brand logo images downloaded from Flickr.

DeepLogo provides training and evaluation environments of Tensorflow Object Detection API for creating a brand logo detection model. These are some detection results by DeepLogo. DeepLogo uses SSD as a backbone network and fine-tunes pre-trained SSD released in the tensorflow/models repository.

2024年5月21日 · DeepLogo采用TensorFlow Object Detection API作为基础，这是一个强大的框架，它允许开发者基于预先训练好的模型快速构建定制化的深度学习模型，以解决特定的对象检测问题。 特别的是，DeepLogo专注于品牌logo的检测，其核心是SSD（Single Shot Multibox Detector）作为后端网络，并对预训练的SSD模型进行微调。 DeepLogo采用了TensorFlow Object Detection API中的SSD（Single Shot Multibox Detector），这是一种适用于实时目标检测的一 …

Identify and recognize logos in your image or picture. Our image recognition tool uses AI and machine learning, and will also identify other objects besides logos found in your image.

Below is a free classifier that uses AI to identify what brand a logo or icon belongs to. It covers over 25k+ brands, including B2B and B2C. Please upload a close-up of a brand logo or favicon, with everything else cropped out. Want a custom logo detector for your brand? The example above uses a predefined list of popular logos.

通过预先训练的模型， Robust_Logo_Detection 可以在输入图像中有效地找到Logo的位置，并对其进行分类。 此外，项目还利用了 transfer learning（迁移学习）的概念，这意味着可以利用已经在大规模数据集上预训练的模型，减少需要大量标注数据的问题，同时提高模型的泛化能力。 这使得该库能够处理各种复杂背景和不同尺寸的Logo。 品牌保护：自动监测网络上的侵权行为，如未经许可的品牌使用。 市场营销：分析广告在现实世界中的曝光率和位置。 零售分析：在商店 …

Logo Lab puts logos to the test. Simply upload a logo, and you’ll be presented with visual experiments that test key factors like scalability, silhouette, and balance. Easily determine where a logo succeeds and where it could use some improvement.