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Annotation Models

A collection of 3 posts
RT-DETR: Real-Time Object Detection with Transformers for High-Speed Accuracy
RT-DETR

RT-DETR: The Real-Time End-to-End Object Detector with Transformers

Table of Contents 1. Introduction 2. Traditional Object Detection Methods: Evolution and Impact 3. Limitations of Previous Models 4. RT-DETR:Real-Time End-to-End Object Detector with Transformers 5. Architecture of RT-DETR 6. Experimental Results 7. Applications of RT-DETR 8. Conclusion 9. Frequently Asked Questions Introduction Object detection is a fundamental computer
Jul 23, 2024 9 min read
VRP-SAM: Advanced Image Segmentation with Visual Reference Prompts
VRP-SAM

VRP-SAM: Image Segmentation With Visual Reference Prompts

Table of Contents 1. Introduction 2. What is VRP-SAM? 3. Architecture of VRP-SAM 4. Meta-Learning Strategy in VRP-SAM 5. Performance and Evaluation 6. Applications and Use Cases 7. Advantages Over SAM 8. Conclusion 9. FAQ Introduction The Segment Anything Model (SAM) has emerged as a powerful tool in the field
Jul 15, 2024 9 min read
Leveraging OWLv2's Zero-Shot Detection for Auto Labeling
OWLv2

Leveraging OWLv2's Zero Shot Capability To Auto Labeling

Table of Contents 1. Introduction 2. Understanding Shot-Based Learning in Object Detection Models 3. Introducing OWLv2 4. How OWLv2 Model Works? 5. Advantages of OWLv2 6. Applications of OWLv2 7. Accelerate Annotation Efficiency with OWL-ViT on Labellerr 8. Conclusion 9. FAQ Introduction In the dynamic field of computer vision, the
Jul 1, 2024 12 min read
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