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Description
camp king roof top tent Camp King Aluminum Roof Top TentAustralian manufacturers Camp King Industries are bringing their A game to America with the introduction of the Camp King Aluminum Roof Top Tent. This aluminum shell roof top tent comes fully insulated and finished with a carpeted interior and an ultra comfortable mattress. Premium build quality using Australian materials means you can sleep like a baby even if you're exploring rugged, remote terrain. The 2mm aluminum shell can support an optional
Australian manufacturers Camp King Industries are bringing their A game to America with the introduction of the Camp King Aluminum Roof Top Tent. This aluminum shell roof top tent comes fully insulated and finished with a carpeted interior and an ultra comfortable mattress. Premium build quality using Australian materials means you can sleep like a baby even if you're exploring rugged, remote terrain.
The 2mm aluminum shell can support an optional Camp King crossbar system so you can carry additional gear on top of the tent. Whether it's bikes, surfboards, kayaks, a rack-mounted shower system, etc, the strong aluminum shell of Camp King's RTT means that the rack system carrying capacity of your vehicle is no longer negated by mounting a rooftop tent. Just pop it on top of the rack system on top of the tent! (Note pictures herein show a previous version Camp King Tent with optional Rhino-Rack Cross bars - the crossbar option will now be a Camp King Aluminum crossbar system).
PLEASE NOTE: Tent will ship to your nearest freight terminal. For shipping to a residential address (additional cost), please Contact Us.
Weight & Dimensions
- Exterior Dimensions: 90.5" (L) x 57" (W) x 12.5" " (H, when closed including mounting rails)
- Interior Dimensions: 85.5" (L) x 52 (W) x 68.5" (H, when open)
- Weight: 198 lb
Aluminum Roof Top Tent Design Features
- CAD design with CNC laser cut and precision bending manufacturing process. Hand TIG welded for quality assurance.
- Massive internal opening height (5' 7") for a spacious internal sleeping area
- Large entrance awning at rear of tent shelters main door so can be opened for ventilation even in poor weather conditions
- 2 fully opening, large windows for maximum air flow, natural light & superb views
- The telescoping ladder can be placed at the front main entrance or at either of the 2 sides for flexibility in camp configuration
- Installation-Ready with mounting rails & brackets for attachment to rack system
- Longer in length than many hard shell Roof Top Tents- ideal for tall campers
- World Class warranty - 5 Years on Camp King workmanship, 5 years on the Canvas (deterioration and fading), and 1 year on incidentals such as latches, handles, and struts.
Premium Quality Australian Materials
- 2mm aluminum shell with premium powder coat finish
- New 4" thick high density memory foam mattress - Ultra thick memory foam is great for side sleepers!
- Extra-Long Full/Double Size Mattress (53" x 85.5")- Completely fills floor of tent for wall-to-wall comfort with no mattress shifting (Note: a standard full size bed is 53" x 75")
- Tent fabric is Dynaproofed Coolabah TS (Tear Stop) Poly-Cotton (304 g) from Wax Convertor Textiles- breathable, insulating & water resistant- done right (see below).
- Closed cell foam (water resistant) insulated roof
- Heavy duty pressure rated struts assist opening of tent
- High quality seals to prevent dust and water entry
- Telescoping Aluminum Ladder is easily height adjustable to perfectly match your vehicle- lifted or not.
Technical Run Down of Dynaproofed Coolabah TS Poly-Cotton Canvas:
- Wax Convertor Textiles (WCT) is known to produce the best canvas products on the international market. WCT optimized the poly-cotton blend that is used in the Camp King RTT specifically for use in tents.
- The reason canvas and natural fabrics are preferred over plastic products is their breathability- which means a reduction in the condensation that accumulates inside the tent.
- The Dynaproofing production process applies rigorous standards for hydrostatic pressure and cone test leakage.
- In contrast, cheaper canvas products are often waterproofed by simply applying a thick coating over the canvas, which destroys the natural breathability of the material and results in condensation inside the tent. However, the Dynaproofing process impregnates the actual tear stop weave with the waterproofing treatment, so breathability is maintained.
- The result is a superior, breathable, waterproof canvas perfect for use in roof top tents.
- The 300g weight of Coolabah TS poly-cotton sits right in the sweet spot for roof top tents- thick enough to be insulating and not obnoxiously flappy in the wind, but thin enough to pack down easily without having to struggle to stuff in the fabric as you close the tent.
Included Accessories & High End Finishes
- Full internal lining included- no separate lining/insulation kit purchase required
- 6x internal storage pouches included to organize and safely store your gear inside
- Extendable aluminum ladder included
- 4x Australian made Supa-peg poles to support the large entrance awning included
Camp King Aluminum Roof Top Tent Walk Through Video
See a few of the features of the Camp King Aluminum Roof Top Tent- note that some of the included accessories are not shown in the video, so you can see the quality of the backing and insulation that is normally hidden by the mattress
Additional Videos
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.3 ★★★★★
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Product Reviews
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people.
THANK YOU Kent for writing this book.
We purchased about 12 total.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 24, 2019
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 1, 2019
★★★★★ 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
★★★★★ 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
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