Lego BmwLego FordMustangs HarleysFord MustangsGt500 FullSheepo YoutubeRc TechnicCrazy LegosReal HybridForwardLEGO Car Lift, can lift more than 3KGS!! by Sheepo - YouTubeA teenage football fan has geared up for the European Championships by recreating some of the most famous moments from tournaments gone by - in Lego.Graham Love, 18, spent hours putting the pieces in place to re-make some of most memorable moments out of the plastic toy and then filmed it and made it a YouTube video which has become an internet sensation. Celebration time: Gazza's famous dentist chair celebration is recreated in Lego Psycho screaming: Stuart Pearce's celebration after his penalty against Spain The footage includes Gazza's goal against Scotland at Euro 96 complete with the famous dentist's chair celebration - and Stuart Pearce's penalty against Spain in the same tournament. Not all our own way: Tomas Brolin scores for Sweden against England at Euro 92 Wally with the brolly: Steve McClaren watches England fail to qualify in 2008
He has also included are three humiliating moments for the Three Lions - Ray Houghton's header for Ireland from Euro 88, Tomas Brolin's brilliant goal for Sweden from 1992 and Wally with the Brolly Steve McClaren as England lost to Croatia at Wembley and failed to qualify in 2008. French magic: David Trezeguet wins the tournament for France in 2000 Stop crying your eyes out: Cristiano Ronaldo in tears as Portugal lose the final of Euro 2004 Greece's dramatic triumph in 2004 is also featured, along with cameos for Cristiano Ronaldo, Michel Platini and France's David Trezeguet from 1984 and 2000.The video ends with a question mark over the coming tournament for EnglandSuspension DoorsReal SuspensionMustang CompleteTransmission ClickHusband BaitPineapple SnazzShawns PinsShaker HoodModel V8ForwardMan builds Ford Mustang from Legos What kind of man wakes up in the morning and decides to build a 1967 Ford Mustang, complete with a shaker hood, real suspension, doors, and a model V8 engine?
Our favorite part - the removable body, and working gears in the 4-speed transmission. Click pic for more info and video. Building the lego road Lego 4435 Car and caravan Test drive - Lego Road #003 Lego Road update #005 Test Drive Wide load 4203 Excavator transport Racing Lego Speed Champions - Road #007 Test drive race cars Racing with the Octan 60025 Grand Prix Truck - Lego Road #009 LEGO City Grand Prix racecar 60025 - Speeding! Lego Road update #002 Inner workings Lego Road update #004 Test drive 3221 Semi with trailer Lego Road update #006 Painting the road Lego 60060 Auto transporter - Lego Road #008 Test drive trucks Slow driving the Octan 60025 Grand Prix Truck - Lego Road #010 A DRIVING LEGO TOILET ?!?!Jan. 24 (UPI) -- An Australian man with a passion for trains and Lego bricks shared video of the toy railway he constructed that runs both inside and outside his home. The video, posted to YouTube by TrainGuy 659, shows the train's-eye-view as it chugs through the Cairns, Australia, home on tracks that run all through the house and around the yard.
The man said he has been building Lego trains for years, and improves and expands on the track each time. "I got myself some more Lego track from last year's train set. So, this one got a bit bigger, by going around the pool this time! I had my mates to help me out in making the train set and filming it, as well," the man wrote. "This took us just under two weeks to set it all up." Chevy and Warner Bros. construct life-size Batmobile made from 344,187 Legos Miniature replica of Philadelphia to be built out of Legos Land Rover builds record-setting Lego replica of London's Tower Bridge YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs and associated labels from a diverse vocabulary of 4700+ visual entities. It comes with precomputed state-of-the-art audio-visual features from billions of frames and audio segments, designed to fit on a single hard disk. makes it possible to get started on this dataset by training a baseline video model in less than a day
on a single machine! At the same time, the dataset's scale and diversity can enable deep exploration of complex audio-visual models that can take weeks to train even in a distributed fashion. Our goal is to accelerate research on large-scale video understanding, representation learning, noisy data modeling, transfer learning, and domain adaptation approaches for video. More details about the dataset and initial experiments can be found in our Some statistics from the latest version of the dataset are included below. Avg. Labels / Video Feb 15, 2017: Announced the CVPR 2017 Workshop on YouTube-8M Large-Scale Video Understanding, to be held July 26, 2017, at CVPR 2017. Feb 15, 2017: Announced the Google Cloud & YouTube-8M Video Understanding Challenge as a Kaggle competition with a $100,000 prize pool, sponsored by Google Cloud. Feb 15, 2017: Open-sourced TensorFlow implementations of additional video modeling approaches from the
Feb 15, 2017: Updated YouTub-8M with new labels (twice as many labels/video, on average), newly added audio features, and a cleaned-up set of entities and videos (removed infrequent entities, video that are no longer live/public, videos without annotations from the new vocabulary). The dataset statistics above correspond to the updated version of the dataset. The original version of the dataset is now considered deprecated and will be removed in 6 months. Dec 22, 2016: Open-sourced for training and evaluating a baseline model on this dataset. The (multiple) labels per video are Knowledge Graph entities, organized into 24 top-level verticals. Each entity represents a semantic topic that is visually recognizable in video, and the video labels reflect the main topics of each video. You can download a CSV file of our vocabulary. The first field in the file corresponds to each label's index in the dataset files, with the first label corresponding to index 0.