Video Annotation for Intelligent Transport -- 4

₹12500-37500 INR

Closed

Posted about 1 month ago

₹12500-37500 INR

Paid on delivery

I’m expanding our computer-vision pipeline for intelligent transportation and now need extra hands to turn raw driving footage into crisp, production-ready training data. Your main responsibilities will be twofold: first, frame-by-frame video annotation that accurately marks every vehicle on screen; second, independent validation passes to confirm label quality before the files move downstream to our model engineers. All footage is supplied through our secure web platform, and I walk you through the entire workflow during a short, paid onboarding session—so no prior AI background is necessary. You work remotely on your own schedule, submit batches whenever they’re ready, and receive regular payouts tied to each approved milestone. Core deliverables • Precisely annotated video clips with bounding boxes (or polygons when required) around every vehicle • A brief validation report per clip confirming object count, label consistency, and any edge-case notes • Timely upload of the final reviewed dataset in the same directory structure we provide We’re starting with vehicles only, but there’s room to branch into pedestrians and traffic signs as new projects roll out, so attention to detail and a willingness to follow evolving guidelines is key. Tools such as CVAT or Labelbox are integrated in the portal, but I’m open to suggestions if you have another favorite video annotation environment. If you’re meticulous, comfortable working with video, and eager to contribute to real-world autonomous mobility, I’d love to bring you onto the team. I have uploaded the guidelines. Please check and if you are okay with it, please let us know. So that we can give access to our CVAT portal as well as slack channel. NOTE: The first batch is 50 videos. Once those are done and approved, we award the next 50 based on availability, and so on from there. Pay is ₹250 per video, released after our reviewer approves the work. The payment milestone triggers either when you finish a batch or at the 2-week mark, whichever comes first, and "finished" means the annotations are approved, not just submitted.

Data Processing

Video Services

After Effects

Machine Learning (ML)

Video Editing

Artificial Intelligence

Computer Vision

Deep Learning

Project ID: 40545392

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3 proposals

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3 freelancers are bidding on average ₹15,967 INR for this job

@uvucon

You need frame-level vehicle labelling and a second validation pass so transport footage is ready for downstream object-detection training. I have produced structured detection datasets where the final handoff included reviewed boxes, consistent labels, preserved folder paths, and clip-level quality notes. Do you want only full vehicles labelled, or should partially visible/occluded vehicles at the frame edge also be marked with an uncertainty note? 1. I will convert your instructions into a compact annotation guide covering vehicle inclusion rules, box tightness, polygon use, and edge cases. 2. I will complete the vehicle annotations inside your web platform, keeping the same directory and filename structure for clean downstream ingestion. 3. I will perform a separate validation pass to catch missed objects, duplicate boxes, inconsistent labels, and difficult frames with glare, motion blur, or occlusion. 4. I will submit the final reviewed batch with a per-clip validation note showing object counts, corrections made, and any ambiguous frames that may need your decision. Milestones: 30% after an approved pilot clip set, 40% after the full annotation batch, and 30% after validation review and final corrections. Happy to start with a small first batch to confirm fit before the rest.

₹18,500 INR in 5 days

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@umamaheswarih

Hello, I am very interested in working on your video annotation project for intelligent transportation. I have hands-on experience in video and image annotation through my work with Innodata, where I performed precise bounding box annotations, image labeling, video inpainting, object removal, color picker tasks, and other detail-oriented data annotation assignments. This experience has strengthened my accuracy, consistency, and ability to follow detailed annotation guidelines. Although I have not yet worked on CVAT, I am a quick learner and am comfortable adapting to new annotation platforms. I am happy to complete your paid onboarding and carefully follow your project guidelines to ensure my work meets your quality standards. What I offer: * Accurate frame-by-frame vehicle annotation * Strong attention to detail and consistency * Careful validation before submission * Ability to follow evolving annotation instructions * Reliable communication and timely delivery of assigned batches I am comfortable with this workflow and appreciate the opportunity for long-term collaboration as additional annotation categories become available. I would be glad to review the uploaded guidelines. If everything aligns with the project requirements, I am ready to begin and join your CVAT portal and Slack workspace. Thank you for your consideration. I look forward to contributing to your project. Best regards, Umamaheswari H

₹12,500 INR in 7 days

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@warrick1718

This is exactly the kind of project I enjoy working on. I understand the need for clean, professional, and accurate video annotation for your intelligent transportation pipeline. While I am new to Freelancer, I have tons of experience and have completed similar projects off-site. My expertise lies in meticulous video annotation, ensuring precise labeling and quality validation. If it sounds like a good fit, I'd be happy to discuss the details. Regards, Warrick Van Eeden

₹16,900 INR in 7 days