blip-image-captioning-bas是一个用1400W参数训练出来的模型,该模型在huggingface的大小有990M,有两种方式使用该模型,一种是通过API调用的方式,前提是必须在云环境中事先部署好该模型的应用服务,然后提供api key和 Inference Endpoint来供调用,这种方式不占用本地存储空间资源,但会占用网络资源,第二种方式是将blip-...
Advanced AI Captioning for Diverse Audiences Harness the power of AI with our photo caption generator that integrates natural language processing and sophisticated image recognition to analyze and describe images accurately. Customize captions to fit your style, support multiple languages, and ensure ...
[2] Ting Yao, Yingwei Pan, Yehao Li, Tao Mei, “Exploring Visual Relationship for Image Captioning,” ECCV, 2018.[3] Ting Yao, Yingwei Pan, Yehao Li, Tao Mei, “Hierarchy Parsing for Image Captioning,” ICCV, 2019.[4] Yingwei Pan, Ting Yao, Yehao Li, Tao Mei, “X-Linear Attent...
Content analysis for image captioning The Cloudinary AI Content Analysis add-on can also be used for AI-based image captioning, whereby an image is analyzed and a caption is suggested based on the images' contents. You can use this for image metadata or as the alt text for an image, impro...
Automated Captioning Send CloudSight your visual content, and our API will generate a natural language description in response. Fine-Grained Object Recognition Make things more discoverable for your e-commerce site or marketplace through augmented product and image details such as brand, style, type ...
Automated Captioning Send CloudSight your visual content, and our API will generate a natural language description in response. Fine-Grained Object Recognition Make things more discoverable for your e-commerce site or marketplace through augmented product and image details such as brand, style, type ...
Can I control which images are processed by imagetocaption.ai from my Google Drive? Yes, you can control this through the setup process where you designate specific folders in Google Drive to be monitored. Only images uploaded to these folders will trigger the captioning process. What file form...
The generated captions aim to accurately describe the image's content, providing valuable information for various applications such as image retrieval, scene understanding, and accessibility for the visually impaired. In this paper, we applied transfer and deep learning methods such as VGG16, LSTM to...
We recommend you use the Image Analysis 4.0 API if it supports your use case. Use version 3.2 if your use case is not yet supported by 4.0. You'll also need to use version 3.2 if you want to do image captioning and your Vision resource is outside the supported Azure regions. The ima...
We recommend you use the Image Analysis 4.0 API if it supports your use case. Use version 3.2 if your use case is not yet supported by 4.0. You'll also need to use version 3.2 if you want to do image captioning and your Vision resource is outside the supported Azure regions. The ima...