ModerateContent
Trusted across the internet to protect communities against offensive content. With an API that couldn't be easier to integrate into your website, app or platform. Analyze an anime (animated) image and rate it for the appropriateness of it's content for a type of audience - adult, teen, everyone. Tags images with detected labels. Detects names any visible anime characters. Detects copyrights (if any) of image content. Analyze text and return any bad words founds for 27 languages, also returns cleaned version of the text. Analyze an image and return the text found in the QRcode. Analyze an image and rate it for the appropriateness of its content for a type of audience - adult, teen, everyone.
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Lens
Lens is Moondream’s official fine-tuning service, designed to turn a general vision-language model into a highly specialized system tailored to a specific task. It provides a simple, structured workflow where users start by collecting a small dataset of images relevant to their use case, then fine-tune the model through an API using techniques such as supervised fine-tuning (SFT) or reinforcement learning, and finally deploy the customized model either through the cloud or locally with Photon. It is built around the idea that Moondream begins as a general model trained on broad, public data, and fine-tuning adapts it to understand the exact products, documents, categories, or internal information that matter to a business, significantly improving accuracy and reliability for that domain. Lens is designed for production scenarios where performance matters, enabling teams to achieve large gains in accuracy with minimal data by teaching the model to master a defined task.
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Ultralytics
Ultralytics offers a full-stack vision-AI platform built around its flagship YOLO model suite that enables teams to train, validate, and deploy computer-vision models with minimal friction. The platform allows you to drag and drop datasets, select from pre-built templates or fine-tune custom models, then export to a wide variety of formats for cloud, edge or mobile deployment. With support for tasks including object detection, instance segmentation, image classification, pose estimation and oriented bounding-box detection, Ultralytics’ models deliver high accuracy and efficiency and are optimized for both embedded devices and large-scale inference. The product also includes Ultralytics HUB, a web-based tool where users can upload their images/videos, train models online, preview results (even on a phone), collaborate with team members, and deploy via an inference API.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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