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The Ultimate Guide to Image Datasets for AI Projects

Hey there, AI enthusiasts! Are you diving into the exciting world of computer vision and machine learning? You've probably realized that having the right image datasets can make or break your project. Let's explore everything you need to know about finding, using, and working with image datasets! What Exactly Are Image Datasets? 🤔 Think of an images dataset as a massive photo album, but way more organized! It's basically a collection of pictures that have been carefully sorted, labeled, and prepared for training AI models. Whether you're building the next breakthrough in fashion tech, creating a beauty app, or just learning about computer vision, you'll need quality image data to train your models. Why Are Image Datasets So Important? Here's the thing - AI models are like students. They need lots of examples to learn from! More data = Better results Quality matters more than quantity Diverse datasets prevent AI bias Real-world data beats synthetic ev...
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IMDB Datasets – Get Structured Movie Metadata for Projects and Apps

 If you're working on a movie-related app, academic project, or just enjoy diving into film data, IMDB datasets are a fantastic place to start. These structured, large-scale datasets include detailed information about movies and TV shows from the Internet Movie Database (IMDb) — perfect for developers, analysts, and cinema fans. Whether you're building a recommendation engine, creating a search interface, or doing data science work, datasets IMDb offer exactly what you need. What’s Inside IMDB Datasets? The typical IMDb movie datasets or metadata collections include: Movie or show title Release year Genre(s) like Action, Comedy, Thriller Cast (actors/actresses) Director(s) IMDb rating and vote counts Runtime , language , country Plot summaries, and more These metadata points are essential for building movie discovery platforms, analyzing global cinema trends, or building AI models. Why Use Datasets IMDb? IMDB datasets are widely used by: D...

Target Discounted Products Dataset – Practical Use Cases for Price Monitoring, Deal Aggregation & Market Research

 n the fast-evolving world of eCommerce and retail, real-time access to discounted product data can make a measurable impact for businesses, analysts, and developers. That’s where our Target Discounted Products Dataset comes in — a comprehensive collection of 160,000+ discounted products , all offering 30% off or more from Target.com. Whether you're building a deal aggregator , tracking pricing trends, or enriching your eCommerce listings with competitive benchmarks, this dataset is packed with potential. What’s Inside the Dataset? This dataset features a structured, clean dump of discounted products sourced from Target's product listings . It includes: Product Title Discounted Price Original Price Discount Percentage Product Category Brand Product URL Images & Media Links Ratings and Review Counts In-Stock Status Timestamp of Crawl This rich metadata can be used directly or adapted into your internal tools and dashboards with ease. P...

Analyzing Booking.com Reviews: A Data Goldmine for Travel & Sentiment Insights

 If you’ve ever wished you could dive deep into thousands of Booking.com hotel reviews to understand traveler preferences, regional satisfaction trends, or just analyze sentiment over time — your wish has been granted. Thanks to CrawlFeeds , you can now access structured Booking.com review data with advanced filters and ready-to-use datasets. 🌍 Why Booking.com Reviews Matter Booking.com is one of the most trusted hotel booking platforms globally, with millions of user-generated reviews across thousands of properties. These reviews hold a wealth of information, including: Sentiment toward service quality Trends by location (e.g., USA vs. Europe) Feedback frequency and score patterns Temporal analysis – how did reviews change during or after the pandemic? Whether you're a data scientist, travel analyst, hospitality consultant, or just curious — this data is a goldmine . 🔍 Explore the Live Review Feed CrawlFeeds offers a live, filterable feed of Booking.com rev...

What is CrawlFeeds and How It Can Benefit Your Organization

  🚀 What is CrawlFeeds? CrawlFeeds is a powerful data-as-a-service platform that helps businesses access large-scale structured datasets from websites across various domains like e-commerce, travel, real estate, and more. 🛠️ What We Do We crawl, extract, and deliver high-quality web data, offering: Pre-crawled datasets (millions of records) Custom data collection from any website Real-time updates on demand Whether you're building an AI model, running competitive research, or enriching a product catalog, we’ve got the data you need. 🌍 Use Cases Market research and price tracking Sentiment analysis from reviews Real estate trend monitoring Product data enrichment Academic and enterprise research 📦 Data Delivery Choose your preferred formats: CSV, JSON, or Parquet. Data can be delivered via Google Drive or downloaded securely from our platform. 💡 Why CrawlFeeds? 24/7 support Flexible pricing Scalable infrastructure Ethical and comp...

Access 3M+ USA Hotel Reviews from Booking.com – Structured Dataset Now Available

 Are you looking for in-depth and structured hotel review data from Booking.com ? We’ve compiled a massive dataset of over 3 million verified hotel reviews from properties across the United States , and it’s now available for immediate access. This dataset is ideal for companies, researchers, developers, and analysts working in the travel, hospitality, AI, or data science industries. Whether you’re tracking traveler satisfaction , building AI models , or analyzing travel trends , this resource saves you hours of crawling and cleaning data. What’s Included in the Dataset? Each record in this Booking.com hotel review dataset is carefully structured and includes rich, valuable information such as: Hotel name Location (city, state, country) Review title & content Star rating Review score (out of 10) Reviewer origin country Review date Helpful votes (if available) All reviews are from verified users and gathered from public Booking.com listings. This ens...

6+ Million-Scale Review Datasets for AI, NLP & Market Research

Looking for real, large-scale review data to power your next ML or analytics project? We’ve compiled a list of 6 massive, structured review datasets — each with over 1 million records — covering industries like travel, e-commerce, beauty, and B2B platforms. 🏨 20M+ Booking.com hotel reviews 🗽 1.8M TripAdvisor NYC hotel reviews 🛒 1.8M Flipkart product reviews 💄 Ulta Beauty product ratings & reviews 💋 1M+ makeup product review records 🌐 2M+ Trustpilot reviews across global brands 3M+ USA hotel reviews from booking.com 📥 All datasets include samples, are CSV-ready, and ideal for: 🧠 Sentiment analysis and opinion mining 🤖 NLP and LLM training 📊 Competitive research and customer insight 👉 Read the full article on Medium: 6+ Review Datasets Over 1M+ Records for AI, NLP & Analytics → For direct access to sample-ready datasets, visit: CrawlFeeds.com