Construction Site Data Collection & Computer Vision Labeling

@usmanbashir12100

Hi, I'm applying for **Task 2 – Computer Vision Data Labeling**. I have experience working with image annotation and computer vision datasets, and I'm comfortable using tools such as CVAT, Label Studio, and Roboflow. I pay close attention to detail and can deliver accurate annotations in standard JSON export formats while maintaining consistency across large datasets. I'm happy to work on an hourly or per-image basis, depending on your preference. Best, **Muhammad Usman**

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@codefusion53

Hi, I am interested in both Task 1 and Task 2 for your construction site data collection and computer vision labeling project. I have verified access to active construction sites through my previous collaborations with local contractors, and I can ensure the camera is mounted at the precise height you require to match your robot's perspective. For Task 2, I am experienced with computer vision annotation tools like Labelbox and CVAT, and I am comfortable exporting data in JSON format for seamless integration into your models. My rate is 20 SGD per hour, which fits well within your budget. I am confident my background in computer vision data collection and labeling will help improve your tile grouting robot’s accuracy on site. I look forward to supporting your innovative project and contributing to your AI development. Best, Justin

@ASirbescu

Hello, I am applying both since I am familiar with computer vision and image processing, too. I recommend to use Python because it has many powerful packages for these tasks like Python, OpenCV, NumPy, PyTorch or TensorFlow, Ultralytics YOLO, Detectron2 Task 1: I'll follow your provided camera setup precisely to replicate the robot's viewpoint, capture consistent footage under different lighting and grout conditions, perform a quality check before delivery, and organize all files with clear naming and metadata for seamless integration into your computer vision pipeline. I can begin the data collection immediately and ensure the dataset meets your technical requirements. Task 2: I'll annotate every image and video frame according to your specifications, perform quality assurance to maintain labeling consistency, and deliver organized JSON exports with a well-structured dataset. If needed, I can also review and correct existing annotations to improve dataset quality and help maximize your model's training accuracy.

@revival786

Greetings! I can assist with Task 2: Computer Vision Data Labeling. I am comfortable with annotation tools and exporting to JSON. I will label tile grout lines accurately. Send your annotation platform and data format. Thanks, Revival

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@goranm16

Hi, I'm applying for Task 2, the annotation work. I've done computer vision labeling across several projects, including polyline and polygon annotation for segmentation datasets, which is exactly what grout lines call for since they're thin, continuous features where sloppy vertex placement ruins model quality. I'm most comfortable in CVAT and Label Studio, and I've also worked with Roboflow and Labelbox. I can export to COCO JSON or any custom JSON schema you define, and I'm happy to follow a labeling spec strictly, flag ambiguous frames instead of guessing, and keep a consistent QA pass so your training data stays clean. For video, I can annotate keyframes with interpolation to keep throughput high without sacrificing accuracy. My rate is 15 to 20 SGD per hour, or per-image pricing once I see a sample batch and gauge density. Send a few sample frames and your target format and I'll label a small test set so you can check quality before committing. Thanks!

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience handling computer vision data preparation, image/video review, and structured annotation work, and I’m available to start your project right now. I bring strong expertise in data labeling, image processing, video processing, JSON exports, data management, data entry, and computer vision dataset preparation. One of the key challenges in projects like this is keeping grout-line annotations consistent across photos and video frames so the final dataset is clean enough to improve your robotics vision model. I am applying mainly for Task 2: Computer Vision Data Labeling. My solution would be to review your labeling guidelines, annotate tile grout lines carefully using tools such as CVAT, Label Studio, Roboflow, or your preferred platform, export results in JSON or the required format, and run quality checks before delivery. For Task 1, I can assist if site access and capture guidelines are provided, but I would not claim construction-site access without confirming location first. I have a couple of quick questions. • What annotation format/schema do you need for grout lines? • Do you prefer pricing per image/video clip or hourly? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@Foraxis

✅It sounds like you've put a lot of thought into this project ✅and want to get it done right. I've successfully completed similar on-site data collection projects for computer vision applications. Understanding your goal to enhance computer vision models through a custom dataset is crucial for Fabrica AI's robot development. I am specifically interested in Task 1, as I have the necessary equipment and access to construction sites for capturing the required data. With a focus on performance, security, and user experience, my expertise in data collection aligns perfectly with your project needs. Would it be a ridiculous idea for you to send me a message and see whether we're the right fit for this project? Kind regards, Curtley

@SkillCrafts

Your need for precise, robot-perspective tile grouting data immediately brings to mind my recent project where I developed a controlled camera rig and shooting protocol to capture consistent, viewpoint-specific imagery for an industrial inspection drone. I understand the critical nature of replicating the exact sensor angle and environmental conditions for effective model training. For Task 1, I propose a systematic approach using a gimbal-stabilized action camera mounted at the specified height and angle to ensure consistent perspective. I'll utilize a high-resolution DSLR for supplementary detail shots, ensuring optimal lighting and focus. I will collect raw video footage and meticulously organized still images, geotagged and time-stamped, with a focus on capturing varied grout lines, tile types, and site conditions as per your requirements. What is the target resolution and frame rate for the video data? Do you have specific construction site types or grout line characteristics you'd like to prioritize in the initial data collection phase? I'm available for a brief call to discuss how my experience can directly benefit Fabrica AI's dataset development.

@alluankit01

Hi, I can support this project with Task 2: Computer Vision Data Labeling, and I can also assist with Task 1 if legal construction-site access is arranged or available through your team. For Task 2, I can accurately annotate tile grout lines from images and videos, follow your labeling guidelines, maintain consistency across the dataset, and export clean annotation files in the required format such as JSON. I understand the importance of precise labeling for improving computer vision models used in robotics, especially when the robot’s camera perspective and grout-line boundaries must be represented consistently. I’m comfortable with image/video annotation, data labeling, computer vision datasets, JSON exports, quality checking, frame-by-frame review, polygon/line/box annotation depending on requirements, and organized dataset management. Tools I can work with include: * CVAT * Label Studio * Roboflow * LabelImg * VGG Image Annotator * Custom web annotation tools Deliverables can include: * Labeled grout-line images/videos * JSON annotation exports * Consistent class naming * Quality-checked annotations * Flagged unclear frames * Progress updates * Final organized dataset folder Estimated rate can be hourly or per image/video clip, depending on annotation complexity and volume. I’ll focus on accuracy, consistency, and clean export files that are ready for model training. Best regards Ankit

@waleedsheeraz06

Hi There, I have read your project requirements and would like to apply for **Task 2 – Computer Vision Data Labeling**. I have experience working with image annotation and can accurately label tile grout lines while maintaining consistency and attention to detail. I am comfortable using annotation tools such as CVAT, LabelImg, Label Studio, and other similar platforms, and I can export annotations in standard formats, including JSON. I am detail-oriented, reliable, and can deliver high-quality labeled datasets with a quick turnaround. I am available to work on an hourly basis or per image/video clip, depending on your preference. I am ready to start immediately and look forward to contributing to your project. Thank you.

@joshuak485

Hi, this is Joshua from Davis. I have strong experience with field data capture and computer vision labeling. I understand you need clean tile grouting data from active sites and accurate annotations for model training. I can help with both Task 1 and Task 2, and I will follow your setup and export needs closely. For Task 1, I can capture stable video and high resolution images with the fixed camera height you specify. For Task 2, I can label grout lines carefully and export clean JSON files for training. I can work with common annotation tools and keep the dataset organized and consistent. I can communicate in real time in your time zone and can provide a simple demo or part of the project within 12 hours of starting. Q1: What fixed camera height and mounting setup do you want for Task 1? Q2: Which annotation tool and JSON format do you prefer for Task 2? Q3: Do you want me to quote per hour, per image, or per video clip? Best regards, Joshua

@Aaleen110

I understand you need raw videos and high-resolution photos of tile grouting lines on active construction sites, specifically capturing data to replicate your robot's perspective. I've successfully collected similar visual data for autonomous navigation systems, achieving a 98% accuracy rate in identifying critical path elements from drone footage. For Task 1, I will use a DJI drone equipped with a high-resolution camera and a gimbal for stable, consistent footage. I'll capture multiple passes at varying angles and altitudes, focusing on clear shots of grout lines as per your robot's operational viewpoint. The final deliverable will be a collection of organized video files (MP4) and individual image files (JPG) ready for your team's review. What is the typical ambient lighting range you expect to encounter on these sites, and are there specific grout colors or tile types that are of higher priority? Ready to start as soon as you confirm scope.

@taraskkorol

Hey there, I’m applying for Task 2: Computer Vision Data Labeling. What label format do you need for the grout lines, polygon, polyline, segmentation mask, or bounding boxes? Also, should the labels follow a single class like grout_line, or do you need separate classes for clean line, broken line, shadowed line, edge tile, and noise? I can label tile grouting lines from images/videos and export clean JSON for your CV training pipeline. I’m comfortable with annotation tools like CVAT, Label Studio, Roboflow, and LabelImg, depending on your preferred format. For robotics datasets, consistency matters more than speed. I’ll follow your camera-perspective rules, label edge cases carefully, and keep filenames, frame IDs, and JSON structure clean for model training. Happy to discuss rate per image or video clip. Best, Taras

@krupnovdenis

Hello! We can provide an external team for data collection and CV labeling under this task. 1. Which task do you want us to cover first? 2. Do you already have access to the construction sites for on-site collection? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@trm66614

I am excited to contribute to your autonomous tile grouting robot project. For Task 1, I can capture high-resolution photos and videos of tile grouting lines, having confirmed legal access to active construction sites. This ensures the data collected replicates your robot's perspective perfectly. For Task 2, I'm skilled in using various annotation tools designed for computer vision tasks. I can efficiently label and annotate the tile grout lines from the collected media, ensuring high accuracy for your datasets. Which task would you like me to focus on: data collection or annotation? What specific camera equipment should I use for optimal results? Could you provide the exact height requirements for camera placement? What are your preferred annotation tools to ensure seamless integration with your models?

@mundadiya

Hello, I hope you're having a great day. I'm experienced in on-site data capture and image annotation, having delivered several CV datasets for robotics vision. I shot tiled floors for an indoor mapping robot, mounting a GoPro at a fixed 60 cm height and handling wide-angle distortion in post. I'd start by reviewing your height/spec sheet, then set camera rig and capture sample clips, or load frames into CVAT and export JSON. Could we hop on a short call to confirm the exact mounting height and preferred JSON schema? Thank you, Alpeshbhai M.

@MartinusDanteB18

We recently wrapped up a project very similar to this, helping a company develop a custom dataset for their robotics project. We've built a website for service businesses. We will help you achieve your goal of enhancing computer vision models through on-site data collection and computer vision data labeling. Understanding the need for "clean, professional, and accurate" data, we offer expert services in data collection and annotation. With 75+ 5-star reviews and a top 1% ranking, we guarantee seamless and integrated solutions. I'd be happy to discuss your project in more detail and share how we can bring it to life efficiently and professionally. Best case, we work together. Worst case, you get free advice that helps you move forward. Regards, Martinus.