Bounding Box Annotating, Needs to be ready to go now!

@quan9824

With an unwavering 100% job completion rate, an excellent reputation for delivering on time and a knack for client satisfaction, you can trust me - Doan - to get your image annotation project done right. My experience as a Full-Stack Developer has equipped me with a broad set of skills that make me a perfect fit for your requirements. In the realm of AI, I have extensive knowledge in machine learning, deep learning as well as object detection tracking and counting. My exposure to computer vision dovetails seamlessly with what your project demands. Intelligently cleaning up the bounding boxes and significant image processing have always been my forte, as testified by many of my previous clients. Moreover, one of my key strengths is adaptability; in the face of the AI model's work, the most crucial skill you'll need is that agility to recognize the outliers and correct them. Not only am I fully capable of delivering the results you expect within your timeline, but I can also ensure that your dataset becomes top-notch for further AI work. Let's start now and maximize our efficiency!

@ranaabashesh983

Hello, I’m ready to start immediately and can commit to a full 8-hour work session today. I have hands-on experience correcting large auto-annotated datasets, including cleaning bounding boxes, deleting irrelevant frames, and adding missing boxes where the model fails. Since SAM-based auto annotation is already applied, I’m comfortable working efficiently while maintaining accuracy—tightening boxes, removing false positives, and ensuring consistency across the dataset. I understand the pace required and can handle high-volume correction work without sacrificing quality. I’ve worked with tools like CVAT and LabelImg and can deliver clean, well-organized annotations ready for training. I communicate clearly, accept spot checks, and can turn around fixes quickly. If this goes well, I’m open to continuing on future batches. I’m available to begin right now. Best regards, Abashesh

@suganyav12

Hi there, Myself suganya, hope you are doing good. i am clear with the instruction that process involving draw a rectangular box around an object in an image and assign it a label (name of the object). kindly consider this project for me. immediately available to start the work. i have done data annotation work. Thanks

@trb2004

Hi there, I understand the urgency of your project regarding bounding box annotation and am ready to get started immediately. With my experience in computer vision and data annotation, I can effectively clean, fix, and delete bounding boxes across your dataset of 5,000 images. I’ve successfully completed similar tasks where I ensured high accuracy and attention to detail, particularly in correcting errors and creating boxes for missed areas. I am fully dedicated to completing the work within an 8-hour timeframe, targeting around 10,000 images as per your expectations. Let’s ensure your dataset is perfectly refined and ready for use. Thanks, Thaveesha

@phpxpert89

Hello Dylan B., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Computer Vision, Data Annotating We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@wilfrednjorog

Hello, I’ve reviewed your request and I’m ready to start immediately to clean, correct, and delete bounding boxes across your 5,000-image dataset. I have extensive experience in data annotation and computer vision workflows, I've corrected SAM3 auto-annotations, removed irrelevant frames, and created missing boxes to meet high-quality labeling standards. I will prioritize accuracy while maintaining the pace you expect, focusing on consistency, tight box alignment, and removing false positives so your dataset is production-ready. The next step is for you to provide access to the dataset and any specific labeling guidelines or classes you want enforced. Best regards,

@huzaifa306

Hi, I can start right away and help clean, fix, and complete your bounding boxes quickly and accurately. Since most of the annotation is already done, I will focus on correcting boxes, removing useless frames, and adding any missed objects. I also have experience building identity verification datasets, so I am comfortable working with large image batches while keeping annotations clean and consistent. I am ready to work a full eight-hour shift and deliver high-volume results today. If everything looks good, let us get started immediately. Best regards

@yhongg

I bring over five years of hands-on experience in data annotation across a wide range of projects, including image, video, text, and audio labeling. I have worked with platforms such as Remotasks, UAI, SuperAnnotate, and similar AI training environments, which has allowed me to develop strong adaptability to new tools, workflows, and evolving annotation guidelines. I am highly detail-oriented and consistently maintain high accuracy and quality standards, even when working with complex or large-volume tasks. I understand that well-annotated data directly impacts model performance, so I make it a priority to follow instructions precisely, double-check my work, and stay aligned with project requirements. I am comfortable working independently in remote environments and have a proven track record of meeting deadlines while maintaining quality. I also communicate clearly and proactively with project managers whenever clarification is needed, and I welcome feedback as an opportunity to continuously improve my performance. My goal is to contribute reliable, consistent, and high-quality annotations that support the development of accurate and efficient AI systems. I am confident that my experience, work ethic, and commitment to quality make me a strong fit for this role. Thank you for considering my application.

@WiredAI

Hi, I’ve done similar projects where SAM auto-annotations needed cleaning and correction. I can efficiently fix, delete, and add bounding boxes, remove useless frames, and ensure high-quality annotations. I’ve also trained custom YOLO models, so I understand annotation accuracy deeply. I’m ready to start immediately and can work 8+ hours, easily handling 10k images since most are pre-annotated. Looking forward to long-term work.

@euniceo16

I’m ready to start immediately and work 8 hours to clean and correct your dataset. I have experience fixing bounding boxes, deleting unnecessary frames, and adding missed boxes. I can efficiently process 10,000 images while ensuring high accuracy and quality.