Wellington, Plimmer Towers

Level 31, 2-6 Gilmer Terrace, Wellington, new zealand, 6011

Located in the heart of Wellington’s CBD, Plimmer Towers is in one of Wellington’s most desirable locations; situated in the north-east of Gilmer Terrace and Boulcott Street, down Plimmer Step. With a short walk to Lambton Quay and immediate vehicle access to the Terrace and motorways and being well serviced by public transport, it’s hard to find a better positioned office, with an impressive street perspective, and panoramic views over Wellington and harbour. Overlooking the waterfront and the Golden Mile, the centre is a pivotal hub surrounded by some of the best cafés, restaurants and bars, and offering access to the premier retail strip and links to Boulcott Street. The shopping precincts; Chew’s Lane, Old Bank Arcade and Kirkcaldie & Stains are all a short walk away. Plimmer Towers includes retail, a 4 Star Travelodge Hotel, and multi-level car parking with 24/7 access. Plimmer Towers is classified as a low earthquake risk under NZSEE Rating and includes sustainable features such as energy efficient lighting and intelligent lighting controls. Centre occupants reap the benefits of first-class on-site facilities and amenities including meeting rooms, business lounge, onsite bike racks, shower and bathroom facilities, and secure lockers.

Subcategories (4)

Explore Our Courses

Edge AI for Computer Vision: Real-Time Image Processing

21 Hours

Computer Vision with Google Colab and TensorFlow

21 Hours

Computer Vision for Autonomous Driving

21 Hours

AI Facial Recognition Development for Law Enforcement

21 Hours

Fiji: Image Processing for Biotechnology and Toxicology

14 Hours

Vision Builder for Automated Inspection

35 Hours

YOLOv7: Real-time Object Detection with Computer Vision

21 Hours

Deep Learning for Vision with Caffe

21 Hours

Fiji: Introduction to Scientific Image Processing

21 Hours

Computer Vision with OpenCV

28 Hours

Python and Deep Learning with OpenCV 4

14 Hours

OpenFace: Creating Facial Recognition Systems

14 Hours

Pattern Matching

14 Hours

Computer Vision with Python

14 Hours

Raspberry Pi + OpenCV for Facial Recognition

21 Hours

Scilab

14 Hours

Computer Vision with SimpleCV

14 Hours

Real-Time Object Detection with YOLO

7 Hours

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