KopiKat
Label Studio
Gretel AI Beta²
Generated Photos Datasets
Computer Vision Annotation Tool (CVAT)
Universal Data Tool
This Person Does Not Exist
AWS SageMaker Ground Truth
ML Showcase
Evidently AI
Machine Learning Playground
Apple Machine Learning Journal
Lobe
Bifrost Data Search
ML5.js
Amazon Machine Learning
KopiKat generates a new, visually realistic duplicate of the original image, maintaining all critical data annotations. It alters the environment of the original images, for instance, adjusting factors like weather, seasons, and lighting conditions to add variety to datasets. This is crucial for fields such as object detection, neural network training, and transfer learning.
KopiKat ML ShowcaseNo features have been listed yet.
No ML Showcase videos yet. You could help us improve this page by suggesting one.
KopiKat's answer
Our goal with Kopikat is to strengthen practical applications, especially in scenarios where collecting an extensive dataset proves to be difficult. Kopikat is ideally designed for datasets containing up to 5,000 images, a common feature of numerous real-world AI initiatives. It equips engineers with the ability to enhance mean average precision (mAP), broaden and vary datasets—a critical edge in fields like object detection, neural network training, and transfer learning.
KopiKat's answer
KopiKat's operation is remarkably simple and efficient for its users. All a user has to do is upload one image from their dataset. KopiKat then produces numerous images showcasing different scenarios, like alterations in illumination or weather, all the while preserving the annotations consistently. This attribute considerably expands the diversity of the dataset without requiring extra images, and creates a comprehensive, superior-quality model that introduces diversity beyond what traditional data augmentation techniques can offer. This method has demonstrated an improvement of over 5% in mean average precision (mAP), without any alterations to the AI model.
Label Studio - Open Source Data Labeling Platform for AI Model Tuning
Evidently AI - Open-source monitoring for machine learning models
Gretel AI Beta² - Generate unlimited synthetic data in minutes
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Generated Photos Datasets - Reduce bias in AI systems with synthetic face datasets
Apple Machine Learning Journal - A blog written by Apple engineers