# Object Detection

RF DETR
RF-DETR is a transformer-based real-time object detection model designed for high accuracy and real-time performance on edge devices. It surpasses 60 AP on the Microsoft COCO benchmark, boasting competitive performance and fast inference speed, suitable for various real-world applications. RF-DETR aims to solve real-world object detection problems and is applicable to industries requiring efficient and accurate detection, such as security, autonomous driving, and intelligent monitoring.
Target Detection
68.7K

Agentic Object Detection
Agentic Object Detection is an advanced inference-driven technology capable of accurately identifying target objects in images using text prompts. It achieves human-like precision without the need for large amounts of custom training data. This technology deeply infers unique attributes of objects, such as color, shape, and texture, using design patterns to enable smarter and more accurate recognition in various contexts. Key advantages include high accuracy, no need for extensive training data, and the ability to handle complex scenarios. It is applicable in industries requiring high-precision image recognition, such as manufacturing, agriculture, and healthcare, helping businesses enhance production efficiency and quality control. The product is currently in the trial phase, allowing users to experience its features for free.
AI Model
63.8K

Paligemma2 3b Pt 224
Developed by Google, PaliGemma 2 is a vision-language model that combines the capabilities of the SigLIP visual model and the Gemma 2 language model. It is capable of processing both image and text inputs to generate corresponding text outputs. This model excels in various vision-language tasks such as image description and visual question answering. Its main advantages include robust multilingual support, an efficient training architecture, and outstanding performance across diverse tasks. PaliGemma 2 was developed to tackle complex interactions between vision and language, aiding researchers and developers in achieving breakthroughs in their respective fields.
AI Model
48.3K
Chinese Picks

DINO X
DINO-X is a large visual model centered on object perception, equipped with core capabilities like open-set detection, intelligent question answering, human pose recognition, object counting, and clothing color changing. It not only identifies known targets but also flexibly responds to unknown categories. With advanced algorithms, the model exhibits excellent adaptability and robustness, providing comprehensive solutions for complex visual data across various unpredictable challenges. The applications of DINO-X are extensive, including robotics, agriculture, retail, security monitoring, traffic management, manufacturing, smart homes, logistics and warehousing, and entertainment media. It is the flagship product of DeepDataSpace in the field of computer vision technology.
Object Detection
80.0K

Claude Vision Object Detection
Claude Vision Object Detection is a Python-based tool that utilizes the Claude 3.5 Sonnet Vision API to detect objects in images and visualize them. This tool automatically draws bounding boxes around detected objects, labels them, and displays confidence scores. It supports processing either single images or entire directories, providing high-precision confidence scores and using vibrant, distinct colors for each detected object. Additionally, it saves annotated images with the detection results.
Image Editing
58.5K

D FINE
D-FINE is a powerful real-time object detection model that redefines the bounding box regression task in DETRs as fine-grained distribution refinement (FDR) and introduces Global Optimal Localization Self-Distillation (GO-LSD). It achieves outstanding performance without incurring additional inference and training costs. Developed by researchers from the Chinese Academy of Sciences, the model aims to enhance the accuracy and efficiency of object detection.
Model Training and Deployment
60.2K

YOLO11
Ultralytics YOLO11 is further developed from the previous YOLO series models, introducing new features and improvements to enhance performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it ideal for a wide range of tasks including object detection, tracking, instance segmentation, image classification, and pose estimation.
AI image detection and recognition
69.6K

Bonding W Geimini
bonding_w_geimini is an image processing application developed on the Streamlit framework, allowing users to upload images for object detection via the Gemini API and draw bounding boxes directly on the images. This application leverages machine learning models to identify and locate objects within images, playing a significant role in fields like image analysis, data annotation, and automated image processing.
AI image detection and recognition
53.3K

Florence 2 Large
Florence-2-large, developed by Microsoft, is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of visual and visual-language tasks. The model can interpret simple text prompts to perform tasks such as image description, object detection, and segmentation. It is trained on the FLD-5B dataset, which contains 540 million images with 5.4 billion annotations, making it proficient in multi-task learning. Its sequence-to-sequence architecture enables it to perform well in both zero-shot and fine-tuning settings, proving to be a competitive vision foundation model.
AI image generation
61.0K

Yolov10
YOLOv10 is a next-generation object detection model that achieves high accuracy while maintaining real-time performance. Through optimized post-processing and model architecture, it reduces computational redundancy, improving efficiency and performance. YOLOv10 achieves state-of-the-art performance and efficiency across different model scales. For example, YOLOv10-S achieves 1.8x speed improvement compared to RT-DETR-R18 at similar AP, while reducing the number of parameters and FLOPs by 2.8x.
AI Model
79.8K

Grounding DINO 1.5 API
Grounding DINO 1.5, developed by IDEA Research, is a series of advanced models designed to push the boundaries of open-world object detection technology. The series includes two models: Grounding DINO 1.5 Pro and Grounding DINO 1.5 Edge, optimized for diverse applications and edge computing scenarios, respectively.
AI image detection and recognition
84.2K

Yolov8
YOLOv8 is the latest version of the YOLO (You Only Look Once) family of object detection models. It can accurately and rapidly identify and locate multiple objects in images or videos, and track their movements in real time. Compared to previous versions, YOLOv8 has significantly improved detection speed and accuracy, while also supporting a variety of additional computer vision tasks, such as instance segmentation and pose estimation. YOLOv8 can be deployed on various hardware platforms in different formats, providing a one-stop end-to-end object detection solution.
AI image detection and recognition
232.4K

Idict
idict is an application that provides real-time translation in 137 languages, object detection, photo translation, and text translation. It helps users overcome language barriers and communicate with others anytime, anywhere.
Translation
57.1K

Tweetme
Cloud Recognition is a product that provides smart image recognition services. Through the use of advanced deep learning algorithms, Cloud Recognition can accurately and in real-time recognize and classify objects, scenes, and text in images. Advantages include high accuracy, fast response, support for multiple image formats and multi-platform integration. Pricing is customized based on usage and features. Main functions include image classification, object detection, scene recognition, and text recognition. Suitable for various image processing scenarios, such as image search, content filtering, autonomous driving, and security surveillance.
Image Editing
56.9K

PIXTA AI AI/ML Training Data Service
Pixta AI is a company that provides large-scale data annotation and data collection solutions. We have over 1000 experienced annotators, more than 90 million images, and 10 million videos. Through our services, you can accelerate your AI development. Our annotation and data collection services can meet various needs and can be customized based on your project.
Data Analysis
50.8K

Lobe
Lobe is a free and easy-to-use tool that helps you train custom machine learning models for use in your applications. Lobe provides everything you need to bring your machine learning ideas to life. Simply show it examples of what you want it to learn, and it will automatically train a customized machine learning model for use in your applications.
Model Training and Deployment
52.4K
Featured AI Tools
English Picks

Jules AI
Jules は、自動で煩雑なコーディングタスクを処理し、あなたに核心的なコーディングに時間をかけることを可能にする異步コーディングエージェントです。その主な強みは GitHub との統合で、Pull Request(PR) を自動化し、テストを実行し、クラウド仮想マシン上でコードを検証することで、開発効率を大幅に向上させています。Jules はさまざまな開発者に適しており、特に忙しいチームには効果的にプロジェクトとコードの品質を管理する支援を行います。
開発プログラミング
50.0K

Nocode
NoCode はプログラミング経験を必要としないプラットフォームで、ユーザーが自然言語でアイデアを表現し、迅速にアプリケーションを生成することが可能です。これにより、開発の障壁を下げ、より多くの人が自身のアイデアを実現できるようになります。このプラットフォームはリアルタイムプレビュー機能とワンクリックデプロイ機能を提供しており、技術的な知識がないユーザーにも非常に使いやすい設計となっています。
開発プラットフォーム
45.8K

Listenhub
ListenHub は軽量級の AI ポッドキャストジェネレーターであり、中国語と英語に対応しています。最先端の AI 技術を使用し、ユーザーが興味を持つポッドキャストコンテンツを迅速に生成できます。その主な利点には、自然な会話と超高品質な音声効果が含まれており、いつでもどこでも高品質な聴覚体験を楽しむことができます。ListenHub はコンテンツ生成速度を改善するだけでなく、モバイルデバイスにも対応しており、さまざまな場面で使いやすいです。情報取得の高効率なツールとして位置づけられており、幅広いリスナーのニーズに応えています。
AI
43.3K
Chinese Picks

腾讯混元画像 2.0
腾讯混元画像 2.0 は腾讯が最新に発表したAI画像生成モデルで、生成スピードと画質が大幅に向上しました。超高圧縮倍率のエンコード?デコーダーと新しい拡散アーキテクチャを採用しており、画像生成速度はミリ秒級まで到達し、従来の時間のかかる生成を回避することが可能です。また、強化学習アルゴリズムと人間の美的知識の統合により、画像のリアリズムと詳細表現力を向上させ、デザイナー、クリエーターなどの専門ユーザーに適しています。
画像生成
43.6K

Openmemory MCP
OpenMemoryはオープンソースの個人向けメモリレイヤーで、大規模言語モデル(LLM)に私密でポータブルなメモリ管理を提供します。ユーザーはデータに対する完全な制御権を持ち、AIアプリケーションを作成する際も安全性を保つことができます。このプロジェクトはDocker、Python、Node.jsをサポートしており、開発者が個別化されたAI体験を行うのに適しています。また、個人情報を漏らすことなくAIを利用したいユーザーにお勧めします。
オープンソース
45.8K

Fastvlm
FastVLM は、視覚言語モデル向けに設計された効果的な視覚符号化モデルです。イノベーティブな FastViTHD ミックスドビジュアル符号化エンジンを使用することで、高解像度画像の符号化時間と出力されるトークンの数を削減し、モデルのスループットと精度を向上させました。FastVLM の主な位置付けは、開発者が強力な視覚言語処理機能を得られるように支援し、特に迅速なレスポンスが必要なモバイルデバイス上で優れたパフォーマンスを発揮します。
画像処理
43.3K
English Picks

ピカ
ピカは、ユーザーが自身の創造的なアイデアをアップロードすると、AIがそれに基づいた動画を自動生成する動画制作プラットフォームです。主な機能は、多様なアイデアからの動画生成、プロフェッショナルな動画効果、シンプルで使いやすい操作性です。無料トライアル方式を採用しており、クリエイターや動画愛好家をターゲットとしています。
映像制作
17.6M
Chinese Picks

Liblibai
LiblibAIは、中国をリードするAI創作プラットフォームです。強力なAI創作能力を提供し、クリエイターの創造性を支援します。プラットフォームは膨大な数の無料AI創作モデルを提供しており、ユーザーは検索してモデルを使用し、画像、テキスト、音声などの創作を行うことができます。また、ユーザーによる独自のAIモデルのトレーニングもサポートしています。幅広いクリエイターユーザーを対象としたプラットフォームとして、創作の機会を平等に提供し、クリエイティブ産業に貢献することで、誰もが創作の喜びを享受できるようにすることを目指しています。
AIモデル
6.9M