SKU: 96861324198

LED-softbox – Softbox – Fotolamp – Videolicht – Studiolicht – Handheld Met Handgreep – 55 Cm 60 W – Instelbare Kleurtemperatuur 3000-6500K

$134.54 $149.49
Save 10%
No.2 Bestseller on ateurope.org >

Pay in installments of $37.37 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 19 - Aug 24

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

LED-softbox – Softbox – Fotolamp – Videolicht – Studiolicht – Handheld Met Handgreep – 55 Cm 60 W – Instelbare Kleurtemperatuur 3000-6500KFlexibele LED softbox voor scherpe beelden en zacht licht Wil je zachter licht, minder harde schaduwen en meer controle over je opname? Deze handzame LED softbox van 55 cm is ontworpen voor fotografen, videomakers en streamers die snel willen werken zonder in te leveren op lichtkwaliteit. Door het compacte, opvouwbare ontwerp neem je hem eenvoudig mee naar studio opnames, buitenfotografie of een livestream op locatie. De combinatie van een ronde

Flexibele LED-softbox voor scherpe beelden en zacht licht

Wil je zachter licht, minder harde schaduwen en meer controle over je opname? Deze handzame LED-softbox van 55 cm is ontworpen voor fotografen, videomakers en streamers die snel willen werken zonder in te leveren op lichtkwaliteit. Door het compacte, opvouwbare ontwerp neem je hem eenvoudig mee naar studio-opnames, buitenfotografie of een livestream op locatie.

De combinatie van een ronde lichtvorm, dubbele diffuser en honingraatrooster helpt je om het licht mooi egaal te verdelen. Daardoor krijg je een natuurlijker resultaat, of je nu portretten maakt, producten filmt of iemand interviewt.

Waarom deze lichtset handig is

  • Zacht en egaal licht dankzij de ingebouwde zilveren binnenzijde, twee diffusers en het rooster.
  • Meer vrijheid bij opnames buiten door het handgreepontwerp en de optie voor compatibele accu’s.
  • Precieze lichtregeling met instelbare kleurtemperatuur, helderheid en verschillende lichteffecten.
  • Gebruiksvriendelijk door de quick-release constructie en het duidelijke lcd-scherm.
  • Makkelijk mee te nemen dankzij de meegeleverde draagtas en het lichte statief.

Belangrijkste kenmerken

  • Formaat softbox: 55 cm diameter, 22 cm diep
  • Vermogen: 60 W
  • LEDs: 110 SMD-leds, verdeeld in 55 warme en 55 koude leds
  • Kleurtemperatuur: instelbaar van 3000K tot 6500K
  • Helderheid: instelbaar van 1% tot 100%
  • Lichtmodi: 8 knippermodi voor creatieve effecten

Voor wie is dit geschikt?

Deze lichtset is ideaal als je werkt in een thuisstudio, fotostudio, op locatie of tijdens live streaming. Denk aan portretfotografie, video-opnames, interviews, productfoto’s of content voor social media. Dankzij de compacte bouw en handgreep is dit ook een fijne keuze als je regelmatig moet verplaatsen of snel van hoek wilt wisselen.

Het meegeleverde statief is in hoogte verstelbaar van 77 cm tot 160 cm, zodat je het licht eenvoudig afstemt op jouw opname. Zo kun je laag plaatsen voor zachte invulling of juist hoger voor een natuurlijker licht van bovenaf.

Dubbele diffuser en honingraatrooster

De set wordt geleverd met twee witte diffusers en een honingraatrooster. De diffusers zorgen voor een zachtere lichtspreiding, terwijl het rooster helpt om het licht gerichter te sturen. Dat is handig als je ongewenste lichtuitloop wilt beperken of een subtiel schaduweffect wilt creëren.

Voor binnen en buiten te gebruiken

Voor gebruik binnenshuis sluit je de lamp aan met de adapter. Buiten is de softbox ook praktisch in gebruik met compatibele NP-F550, NP-F770 of NP-F970 accu’s. Let op: batterijen zijn niet inbegrepen.

In de verpakking

  • 1 x softbox
  • 2 x witte diffuser
  • 1 x honingraatrooster
  • 1 x lichtstatief
  • 1 x adapter
  • 1 x draagtas

Samengevat

Met deze LED-softbox kies je voor meer controle, zachter licht en een praktische set die je snel inzet. Of je nu filmt, fotografeert of streamt: je werkt comfortabeler en krijgt direct een professionelere lichtopstelling. Voeg hem toe aan je winkelwagen en ontdek hoe makkelijk goed licht kan zijn.

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: 96861324198

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.4 ★★★★★
Based on 18 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
A
Verified Purchase
Amazon Customer
Los Angeles, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
San Leandro, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
New York, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Omaha, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Birmingham, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

recommand products

Schloss Johannisberg Prince Metternich Riesling
20.20
Fasoli Gino Prosecco Frizzante
11.95
Maggy Hawk Skycrest Chardonnay
68.95
Roubine Hippy Blanc
14.95
Tenuta Luce Lucente Toscana
34.10