SKU: 64674834282

Kyone 1180 Cutting Scissors | 5.5” / 6.0”

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Description

Kyone 1180 Cutting Scissors | 5.5” / 6.0”Kyone 1180 Cutting Scissors Elevate your craft with the Kyone 1180 Cutting Scissors, a next generation model inspired by the success of the Kyone 1080, one of the brands original flagships. This upgraded scissor combines precision engineering, refined ergonomics, and enhanced blade design to meet the standards of todays professional stylists. Whether you're perfecting classic techniques or exploring detailed finishes, the 1180 delivers seamless

Kyone 1180 Cutting Scissors

Elevate your craft with the Kyone 1180 Cutting Scissors, a next-generation model inspired by the success of the Kyone 1080, one of the brand’s original flagships. This upgraded scissor combines precision engineering, refined ergonomics, and enhanced blade design to meet the standards of today’s professional stylists. Whether you're perfecting classic techniques or exploring detailed finishes, the 1180 delivers seamless control and reliable performance.

Product Code: 1180
Design Type: Semi-ergonomic
Blade Type: Semi-convex and hollow-ground
Sizes Available: 5.5”, 6.0”
Function: Precision cutting, slicing, and all-round styling

Why Choose the Kyone 1180 Cutting Scissors?

If you're searching for a professional tool that balances comfort, durability, and advanced blade geometry, the Kyone 1180 is your match. Its carefully updated design includes modern CNC manufacturing methods, resulting in sleek lines and lightweight handling. Every curve, angle, and screw placement is intentionally constructed for natural movement and extended use.

Stylists who demand reliable scissors for both wet and dry cutting will appreciate the Kyone 1180’s versatility. The hardened steel construction ensures edge durability, while the refined handle shape keeps hand fatigue to a minimum, even during back-to-back appointments.

Blade Performance and Geometry

The cutting blades of the Kyone 1180 combine a semi-convex outer edge with hollow-ground interior grinding. This dual approach delivers maximum smoothness with each cut and enhances control during slicing motions. The sharp and compact tip adds another layer of utility, enabling:

  • Close and accurate detailing
  • Efficient line definition
  • Entry into tight areas near ears, nape, or fringe
  • Smooth transitions during texture work

Thanks to this design, you can shift from structured styles to softer finishes with one tool in hand.

Built to Last

Crafted from high-hardness steel, the 1180 resists wear and tear for prolonged cutting performance. The ball-bearing flat screw system further extends the lifespan of the scissor by reducing friction at the pivot point. With consistent maintenance, this model remains as smooth on day 500 as it was on day one.

Its balanced weight and polished exterior enhance both function and aesthetics, making it a true workhorse with showroom looks.

A Trustworthy Tool for Professionals

The Kyone 1180 is suited for both experienced professionals and ambitious newcomers. Whether you are cutting all day behind the chair or offering occasional specialty services, this model provides:

  • Precision and smooth handling across hair types
  • Reduced strain on wrist, fingers, and hand joints
  • Confidence in execution, even with advanced techniques
  • A comfortable experience for both stylist and client

Thanks to its semi-ergonomic handle design and balanced center of gravity, you can rely on this tool through every stage of the haircut.

Maintenance and Care

To ensure long-lasting performance and preserve sharpness:

    • Wipe the blades clean after each cut
    • Apply a drop of scissors oil weekly to the blades
    • Avoid harsh cleaning chemicals that could harm the steel
    • Always store in a dry padded case or holster

    Looking for more professional care tips? Visit our Scissors Care page for expert guides.

    Data


    Attribute Details
    Product name Kyone 1180 Cutting Scissors
    Product code 1180
    Design type Semi-ergonomic
    Blade construction Semi-convex outer with hollow-ground interior
    Blade tip Sharpened for detailed work
    Sizes available 5.5”, 6.0”
    Functionality Cutting, slicing, precision detailing
    Condition New
    Included accessories Multi screwdriver (standard with all scissors)
    Shipping info Free shipping over €200 (excl. NO/AU)
    Returns 14-day return policy

    Shipping and Returns

    Orders placed before 12:00 CET on business days are shipped within 2 business days. For orders over €200, you’ll receive free shipping (except to Norway and Australia). Every shipment includes tracking so you can monitor your delivery from our door to yours.

    If you’re not completely satisfied, you can return your items within 14 days of delivery, provided it’s unused and in its original condition. Visit our full Returns Policy for complete details.

    Stay Connected with Kyone

    Want to follow our tools in action and see what professionals are saying? Connect with us through social media:

    You’ll find tutorials, insider tips, new product announcements and dealer spotlights. Feel free to reach out through social media for questions and feedback!

    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
    • Except Preorder products are shipped in 48 hours.
    • Delivery to the USA:
    1. Standard Shipping : 3-10 business days
    • If time is of the essence, please consider selecting expedited delivery for faster service.
    Exchange/Return Notes
    • We offer a 30-day return/exchange service after receiving.
    • Final sale items are not eligible for returns or exchanges.
    • To process your return/exchange, please contact us at [email protected]
    • Please click here for more details>>> Return & Exchange Policy
    SKU: 64674834282

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    4.5 ★★★★★
    Based on 26 reviews
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    Product Reviews
    M
    Verified Purchase
    Michelle Barcus
    Louisville, US
    ★★★★★ 5
    Very well built
    Color: White
    Yes it was really nice my granddaughter love's the jewelery box
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 18, 2025
    B
    BlueTeej
    San Leandro, US
    ★★★★★ 4
    Lots of storage space, great mirrors, has paint scent
    Color: White
    You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll. So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings. Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily. The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.) So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on October 18, 2025
    K
    Kirsten
    Houston, US
    ★★★★★ 5
    Holds a decent amount of jewelry!
    Color: Carbonized Brown, Color: Carbonized Brown
    I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it. For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would. The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is. This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on March 17, 2026
    X
    Verified Purchase
    0x00000000:00000000
    Cuba, US
    ★★★★★ 5
    Excellent book, possibly currently unique in coverage of latest ideas
    This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on April 18, 2017
    Z
    Verified Purchase
    Zygerian99
    Chelsea, US
    ★★★★★ 5
    The definitive guide to becoming a researcher in the field
    Format: Hardcover
    This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on January 21, 2020

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