What is Annotation?Annotation kya hai?

🧸 Think of it likeAise samjho

Like a teacher writing the right answer next to each practice question, so the student can learn by checking.Jaise teacher har practice question ke saamne sahi jawaab likh deta hai, taaki student check karke seekh sake.

📘 ExplainedVistaar se

Supervised learning needs labelled examples: emails marked spam or not, images with boxes around cars, tickets tagged by category. Labels are made by people, by rules, or by an LLM checked by people. Clear labelling guidelines and checking agreement between labellers matter, because the model copies label mistakes.Supervised learning ko labelled examples chahiye: spam ya not spam mark kiye emails, gaadiyon ke around box wali images, category se tag kiye tickets. Labels log, rules, ya insaanon se check kiya LLM banata hai. Saaf labelling guidelines aur labellers ke beech agreement check karna zaroori hai, kyunki model label ki galtiyaan bhi copy karta hai.

💡 Real exampleAsli example

Tagging 2,000 support tickets as billing, delivery or technical to train a classifier.Classifier train karne ke liye 2,000 support tickets ko billing, delivery ya technical tag karna.

📖 Learn it step by stepStep by step seekho

• How machines learn: features, labels and trainingMachines kaise seekhti hain: features, labels aur training

🔗 Related termsJude hue shabd

• LabelThe correct answer for an example, which a supervised model learns to predict.Example ka sahi jawaab, jise supervised model predict karna seekhta hai.
• Supervised learningLearning from examples that come with the correct answers (labels).Aise examples se seekhna jinke saath sahi jawaab (labels) hote hain.
• DatasetA collection of examples used to train, validate or test a model.Model train, validate ya test karne ke liye examples ka collection.