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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

T-Rex is an easy-to-use and highly efficient software for cryptocurrency mining that takes full advantage of modern NVIDIA graphics cards through innovative optimization methods. We have placed significant emphasis on maintaining stable power consumption to enhance performance. These advantages, combined with a low 1% developer fee, position our software among the top miners available to the public. When you utilize T-Rex for mining, you will experience optimal speeds on mining pools, resulting in increased cryptocurrency earnings that remain consistent. Our users have reported several months of uninterrupted operation without any issues, demonstrating the reliability of T-Rex. Additionally, we offer one of the most competitively priced options for mining software, as we only collect 1% of your mining time as compensation, which equates to less than 15 minutes daily. If the value of the coin you are mining decreases, you won’t need to switch to a different miner; simply transition to another profitable algorithm instead. Currently, T-Rex supports various algorithms, including Ethash, Kawpow, Octopus, MTP, and Progpow. Furthermore, the ability to manage your mining setup through your web browser means you no longer need to monitor your console constantly. This enhanced convenience allows miners to focus on optimizing their strategies and maximizing their profits.

Description

T-Rex Label is a sophisticated annotation tool that caters to intricate scenario labeling across diverse sectors. It stands out as the preferred choice for individuals looking to enhance their workflows and generate superior datasets with ease. By utilizing visual prompts, T-Rex enables the rapid prediction of multiple bounding boxes simultaneously, making it particularly suitable for annotating scenes that are complex and densely packed. With its remarkable zero-shot detection feature, T-Rex facilitates the annotation of intricate scenes across various industries without the need for fine-tuning, thereby supporting a wide range of applications from agriculture to logistics and more. This tool aids an increasing number of algorithm engineers and researchers in accelerating their annotation processes, fostering the development of high-quality datasets. Furthermore, T-Rex2 marks a notable advancement towards more versatile and adaptable object detection, harnessing the synergistic strengths of both language and visual inputs, thereby expanding its utility in the field. The evolution of T-Rex not only enhances productivity but also sets a new standard in the realm of data annotation technology.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ethereum Yes 

Integrations

Ethereum No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

T-Rex

Founded

2021

Website

trex-miner.com

Vendor Details

Company Name

T-Rex Label

Country

United States

Website

trexlabel.com

Product Features

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Alternatives

Alternatives