SKU: 3496565417

Tuff Stuff Elite Overland Roof Top Tent & Annex Room - 5 Person

$1211.37 $1345.97
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Ships within 48 hours · Estimated delivery Aug 22 - Aug 27

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Description

Tuff Stuff Elite Overland Roof Top Tent & Annex Room - 5 PersonThe Tuff Stuff Alpha Elite Roof Top Tent & Annex is one of the largest RTTs on the market, designed to sleep 5 people. The built in, massive, 96 x 77 inch mattress is bigger than a California King and will have you relaxing like royalty. Add the extreme weather cover for warmth in harsh winter nights! The annex room adds an extra layer of privacy and expands your campground. Enjoy the comfort of privacy with the removable split wall and separate entry

The Tuff Stuff Alpha Elite Roof Top Tent & Annex is one of the largest RTTs on the market, designed to sleep 5 people.

The built-in, massive, 96 x 77-inch mattress is bigger than a California King and will have you relaxing like royalty. Add the extreme weather cover for warmth in harsh winter nights!

The annex room adds an extra layer of privacy and expands your campground. Enjoy the comfort of privacy with the removable split wall and separate entry doors.

With heavy-duty YKK zippers, a high-quality poly-oxford 420D rainfly, and reflective guide ropes for stability, this tent embodies quality and performance. The all-aluminum frame, ladder, and roof rack mounts ensure stability, while the included sliding ladders and entry doors make access a breeze.

 

Features & Specs

Features:

-Four-season tent with room for five people
-Massive 96 x 77-inch mattress (bigger than a California King) with a washable cover
-Manufactured from high-quality 280D poly-cotton windproof fabric
-Removable internal divider splits the tent into two separate spaces
-Heavy-duty YKK zippers
-Includes a poly-oxford 420D rain fly with the best water-shedding ability on the market
-Pull out the overhead veranda
-Unfolds from either side of the vehicle (side or rear)
-All aluminum frame, ladder, and roof rack mounts
-All necessary hardware for complete installation (including tools)
-Heavy-duty PVC driving cover
INCLUDES:
-2 qty Sliding Ladders
-2 qty Entry Doors Rainfly
-Black PVC Cover Annex Room w/ floor
-2.75-inch mattress
-1 qty of Shoe bags that slide into the tents railing for outdoor storage
-Under tent storage hammock that can be mounted inside or outside of the tent
-Installation of hardware and necessary tools

Specifications

-ACTUAL WEIGHT: 194 lbs 
-WEIGHT CAPACITY: 800 lbs
-DIMENSIONS L/W/H:FOLDED CLOSED: 79 x 48 x 16 inches
-OPENED: 79 x 96 x 52 inches
-OPEN W/ OVERHANG: 132 x 79 x 52 inches
-DISTANCE BETWEEN MOUNTING RAILS: 32 inches
-SEASON: 4 season
-MATTRESS FOOTPRINT: 77 x 96 inches
2.75-inch thick mattress
-WINDOWS: 6 including the doors"No see um" mosquito mesh w/ inner/outer cover for cold/wet weather
Taped seams to prevent moisture from leaching in through the seams
-ANNEX ROOM (INCLUDED): 113 x 90 inches420D Oxford side walls & 1000D PVC floor
Taped seams to prevent moisture from leaching in through the seams
-Base: Welded aluminum 2-inch frame w/ aluminum sheets (top & bottom)
Insulated between joists to keep the warm air inside
-Internal Frame:1" diameter aluminum poles
420D oxford fabric coated
-Tent Material:280G Cotton/Poly Rip-Stop
Polyurethane-impregnated cotton/canvas for maximum waterproof/water shedding
Taped seams to prevent moisture from leaching in through the seams
-Rainfly:420D oxford polyurethane coated for maximum waterproof/water shedding
Taped seams to prevent moisture from leaching in through the seams
-Driving Cover:
-Black, 1000D PVC waterproof w/heavy-duty YKK
-zippers, Zips on 3 sides/Slides into tent base on 4th side

 

Warranty

1 year against manufacturer defects

Shipping | Returns

Order Confirmation:

As soon as you place your order, you will receive an order confirmation e-mail.  This means that we have received your order in our system and pre-authorized your credit card for the purchase.  As soon as we receive your order, we automatically reach out to our suppliers to confirm that it is in stock and available for immediate shipment.  If your item is on backorder or unavailable, we will void the pre-authorization and reach out to you via e-mail.  If your item(s) are available for immediate shipment (within 5 business days), we will process the charges and submit the order for shipment.

Order Shipment:

If your order is in stock and we process the charges to your credit card, it will ship within five business days from the date of your order.  We will send you tracking information within 24 hours of your order leaving the warehouse to the e-mail address you provided when checking out.  If you do not receive tracking information from us within six business days of your order, feel free to follow up with us at [email protected].

No Shipping outside the USA. (Some exceptions apply - if the website permits you to check out and enter your shipping address, you will receive your order.). 

Shipping Options

Shipping costs vary depending on the product or brand. 

The shipping services typically used are Fedex, DHL, or UPS. You can request a quote from us, and we will assist you in obtaining the lowest possible shipping price.

Some items may take longer to ship. If this is the case, we will promptly reach out to you, inform you of the situation, and present potential alternatives or solutions.

If you do not see any updates in your tracking information or you order is never received, please feel free to contact us during our business hours, and one of our representatives will be able to address any concerns you may have. Additionally, you can contact the carrier directly using the phone number provided on their website. They will also be able to assist you in locating your package.

Returns

The Royalrooftoptent default is that customers will be responsible for all return shipping charges or reconsignment fees caused by customer error, unless otherwise stated on the product page. 

Nearly all of our products have guarantee warranty policies - meaning that you will 100% get a fully functional, operating product that you paid for without any extra expenses incurred on your end - please see individual product pages for details. 

Generally we accept returns up to thirty (30) business days from delivery. Items must be unopened. Customer is responsible for return shipping. Please use shipping services that offer tracking. We are not responsible for products lost or damaged in shipping, and this could affect the amount of your refund. Shipping charges are non-refundable.

A few important notes:

-Make sure to inspect the package upon delivery. Take pictures and note if there is any damage to the package. Contact sales@royalrooftoptent within 24 hours of the product being delivered if your item was damaged in transit.
 
-Once you sign for the package you become responsible for the cost of return shipping and the cost of a new product shipping in the case of a refund or exchange. With that in mind do not sign for damaged packages. Refuse the delivery and contact us at [email protected].
 
-Products must be returned unopened and unused.  An additional restocking fee may occur.
 
-I understand that if my order has left the warehouse, that I am may be unable to receive a full refund. 
 
-I understand that if I return my order once it has shipped, I will be responsible for paying any return shipping fees and restocking fees, which vary by product, but are usually around 20%. 
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: 3496565417

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Walter Echo-Hawk, author of THE SEA OF GRASS.
Phoenix, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Verified Purchase
Par
Belleville, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Verified Purchase
Richard Hackathorn
Alexandria, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Grantham, 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
Grantham, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026

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