Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Unsupervised Llamas Lane Marker |
Description | Unsupervised Llamas The unsupervised labeled lane markers The unsupervised llamas dataset is an automatically annotated lane marker dataset using high definition maps. It contains over 100,000 images with pixel level, dashed markers and 3D |
Keywords | Lane markers,lane marker dataset,semantic segmentation,computer vision |
WebSite | unsupervised-llamas.com |
Host IP | 104.21.58.155 |
Location | United States |
Site | Rank |
US$383,441
Last updated: 2023-05-18 03:44:13
unsupervised-llamas.com has Semrush global rank of 27,603,477. unsupervised-llamas.com has an estimated worth of US$ 383,441, based on its estimated Ads revenue. unsupervised-llamas.com receives approximately 44,244 unique visitors each day. Its web server is located in United States, with IP address 104.21.58.155. According to SiteAdvisor, unsupervised-llamas.com is safe to visit. |
Purchase/Sale Value | US$383,441 |
Daily Ads Revenue | US$354 |
Monthly Ads Revenue | US$10,619 |
Yearly Ads Revenue | US$127,421 |
Daily Unique Visitors | 2,950 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
unsupervised-llamas.com. 300 | A | unsupervised-llamas.com. 300 | IP: 104.21.58.155 |
unsupervised-llamas.com. 300 | A | unsupervised-llamas.com. 300 | IP: 172.67.161.122 |
unsupervised-llamas.com. 300 | AAAA | unsupervised-llamas.com. 300 | IPV6: 2a06:98c1:3120::5 |
unsupervised-llamas.com. 300 | AAAA | unsupervised-llamas.com. 300 | IPV6: 2a06:98c1:3121::5 |
unsupervised-llamas.com. 86400 | NS | unsupervised-llamas.com. 86400 | NS Record: may.ns.cloudflare.com. |
unsupervised-llamas.com. 86400 | NS | unsupervised-llamas.com. 86400 | NS Record: fred.ns.cloudflare.com. |
unsupervised-llamas.com. 300 | TXT | unsupervised-llamas.com. 300 | TXT Record: google-site-verification=bhIDKcycJQHKSrXapjYlPxR4N-lmiRGNXD9qcL0Adlw |
Overview Labeling Benchmarks Binary Segmentation Multi-class Segmentation Lane Approximations Submission Download Contact Unsupervised Llamas The unsupervised l abeled la ne ma rker s dataset Overview The Lane Marker Dataset Automatically annotated lane markers using Lidar maps. Dataset Code --- Website Code Quick specs: Over 100,000 annotated images Annotations of over 100 meters Resolution of 1276 x 717 pixels A Segmentation Challenge Lane markers are tricky to annotate because of their median width of only 12 cm. At farther distances, the number of pixels gets very sparse and the markers start to blend with the asphalt in the camera image. Lane Approximations While pixel-level segmentation can be very useful for localization, some automated driving systems benefit from higher level representations such as splines, clothoids, or polynomials. This section of the dataset allows for evaluating existing and novel techniques. Automated Annotations The Unsupervised Llamas dataset was |
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