YOLOv8 Fishing Vessel Detection -- 2

@ASSAMWEB

Greetings, I have read the project description I have been working on a similar project in recent time. I am interested in the work open a chat to discuss requirements in details.

@hotanloc

https://www.freelancer.com/projects/python/people-detection-counting/reviews @ People cetection and counting project. Please check my previous freelancer projects and reviews. Your project is just my project so I will always do my best to meet your all requirements. My core skill is in OBJECT DETECTION, TRACKING and COUNTING. With my expert skill, I have developed many Computer Vision projects(People detection and counting, Defect detection and counting, Product detction and counting, Car detection and Speed analysis and so on). I have expert skill in image processing which detect object and count object from image and video of CCTV camera. In this project, I will train model to get weight using my own training model. After that I will develop detect code to perform detection object base on traned model. And then I will analysis detected object and display analysed result. I am expert in these fields (YOLO, OCR, OpenCV, Tensorflow, PyTorch, Keras, ML/DL model). I have full experiences in this project with my full knowledge of ML/DL which train annotated image and predict base on trained model. After that I will count number of object with some back processing using opencv. I am sure this project and I can finish this task with high quality. If you give me your project, You can get best result with shortest time and best quality result. Please send me message to discuss your project in more details. I am waiting your reply now. Thanks.

@chiragardeshna

Hi there I have gone through your requirements regarding the YOLOv8 fishing vessel detection model. I have a proven track record training YOLOv8 models for maritime vessel detection. I delivered a 12-class fishing boat classifier achieving 92% mAP@0.5 on 1280x1280 images with balanced speed-accuracy optimization. My experience includes custom YOLOv8 training on COCO/YOLO datasets data augmentation for maritime conditions precision/recall/F1 optimization and production inference pipelines. I created complete training scripts with hyperparameter tuning and deployment-ready .pt weights. I am confident I can train your 90%+ accuracy fishing vessel detector with full deliverables. Thanks Chirag

@rabialiaquat1997

Hello, I would be happy to assist with training a YOLOv8 model to detect and classify the 12 fishing vessel types from your dataset. As a researcher with strong experience in machine learning, PyTorch, and analytical modeling, I can build a reliable detection pipeline that focuses on both high accuracy and optimized inference performance. For your project, I will: • Prepare and verify the dataset in YOLO/COCO format. • Train a YOLOv8 model with 1280×1280 input resolution for improved detection accuracy • Tune hyperparameters and apply data augmentation to reach the ~90%+ accuracy target. • Evaluate the model using Precision, Recall, and F1 Score • Optimize inference to maintain a balanced trade-off between speed and accuracy • Provide clean training scripts and inference code for easy reuse and deployment I prioritize clear documentation, reproducibility, and model stability, so you can easily retrain or extend the system in the future. I would be glad to review the dataset details and start immediately.

@Hemantt841

I see you need a YOLOv8 model specifically trained to detect and classify around 12 types of fishing vessels from your dataset, which is in YOLO/COCO format. You want the model to work with 1280x1280 resolution images and achieve a target accuracy of about 90% or higher, which is a precise and challenging goal. Your focus on not just accuracy but also balancing inference speed with precision, recall, and F1 score metrics shows you need a well-optimized solution, not just a high-performing model. Delivering trained weights, training scripts, and inference code means you want a complete package ready for deployment and further development. I recently completed a project where I trained a YOLOv8 model for multi-class object detection, optimizing for similar performance metrics and inference speed trade-offs using PyTorch. I provided the client with the full training pipeline, including data augmentation, custom loss functions, and optimized inference scripts, which aligns perfectly with your requirements. I can deliver the full solution within 10 days, ensuring thorough testing and optimization. Let’s discuss how to tailor the model further to your specific vessel types and dataset nuances.

@haitham1996

Hello, I can train and optimize your YOLOv8 vessel detection model for the 12 fishing-vessel classes and deliver a clean, reproducible pipeline with weights, training script, and inference code. I’m experienced in Python, data processing, model workflows, and structured backend/automation systems, and I can build this with a strong focus on accuracy, evaluation metrics, and balanced inference performance. What I’ll deliver: • Trained YOLOv8 .pt model for your dataset • Training + inference scripts with clear comments • Precision / Recall / F1 evaluation and optimization notes Quick question: is your dataset already fully labeled and clean, or do you also need help with dataset review / class balance checking? Best regards, Alhaitham

@PyMLExpert1

With my strong background in computer vision and deep learning, I am confident that I can deliver exceptional results for your YOLOv8 Fishing Vessel Detection project. My extensive experience in object detection using YOLOv8 and PyTorch makes me well-equipped to train the model you need to detect the numerous types of fishing vessels with high accuracy. I understand that achieving a target accuracy of 90%+ is crucial for your application, and not only am I familiar with measuring precision, recall, and F1 score – I always strive for excellence in all areas. Furthermore, my ability to optimize inference methods while maintaining a balance between speed and accuracy ensures efficient deployment and maximum effectiveness of the model we create. My past work with large-scale data also assures that I can efficiently handle your provided dataset in its YOLO/COCO format, producing great models in a timely manner. Finally, as an AI solution-centered professional, my main objective is to meet client needs and provide cutting-edge algorithms for advanced automation. By choosing me for this project, you will gain not only a competent freelancer but also a reliable business partner. Let's chat further about how best I can serve you.

@parvatcomputer

Hi, I can help train a YOLOv8 model to detect and classify the 12 fishing vessel types using your YOLO/COCO dataset. I’ll handle data preparation, training at 1280×1280 resolution, hyperparameter tuning, and model optimization to reach around 90%+ accuracy with balanced speed and performance. You’ll receive the trained .pt weights, training scripts, inference code, and a report with Precision, Recall, and F1 metrics. I’m a Python & Machine Learning Engineer experienced with PyTorch, YOLO models, and custom object detection training. Let’s discuss the dataset and start training. ?

@kunwarabhey12321

Hi, I can help train a YOLOv8 model for fishing vessel detection using your dataset. My approach would include: • Verifying the dataset format and annotations (YOLO/COCO) • Training a YOLOv8 model with optimized hyperparameters for 1280×1280 resolution • Evaluating performance using precision, recall, F1 score, and validation metrics • Delivering the trained model weights, training script, and a simple inference pipeline I have experience working with PyTorch-based models and object detection pipelines and can ensure the solution is reproducible and easy to run on your side. Let me know if you'd like me to review the dataset. Thanks, Kunwar

@mudassirs52

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Dataset Review ⟶⟶ YOLOv8 Model Configuration ⟶⟶ Training & Hyperparameter Optimization ⟶⟶ Model Evaluation (Precision / Recall / F1) ⟶⟶ Inference Optimization ⟶⟶ Final Model & Code Delivery Key Highlights ✔ Custom YOLOv8 training — train a high-performance object detection model to detect and classify ~12 fishing vessel types from your dataset. ✔ Optimized training pipeline — configured for 1280×1280 image resolution with augmentation and hyperparameter tuning for better accuracy. ✔ High accuracy target — focus on achieving ~90%+ detection accuracy with balanced precision and recall. ✔ Performance evaluation — detailed metrics including Precision, Recall, F1 Score, confusion matrix, and validation reports. ✔ Speed vs accuracy optimization — model tuning (YOLOv8s / YOLOv8m depending on dataset size) to ensure efficient inference performance. ✔ Clean PyTorch training scripts — reproducible training pipeline with configurable parameters. ✔ Ready-to-use inference pipeline — simple Python script for running detection on images or videos. ✔ Well-structured project delivery — organized codebase and instructions for retraining or fine-tuning the model. Best Regards, Fahad Computer Vision Engineer | YOLO & Deep Learning Specialist | AI Model Development

@sushant476

I specialize in computer vision and deep learning with Python and YOLOv8. I've trained YOLO models for custom object detection tasks with high accuracy targets. For your fishing vessel detection project I'll: - Train YOLOv8 on your COCO-format dataset for 12 vessel classes - Target 90%+ accuracy with 1280x1280 resolution inputs - Optimize inference for speed/accuracy balance - Deliver: trained weights (.pt), training script, inference code, Precision/Recall/F1 metrics I use Python, PyTorch, and Ultralytics YOLOv8 regularly. Competitive rate from India, fast turnaround. Share your dataset and let's start!

@calving10

Hi! I'd love to work with you on this fishing vessel detection project. I've built an Integrated ML Vision System that already uses YOLOv8 with real-time object detection, custom class threat-level mapping, bounding box tracking with trail history, and performance analytics with precision/recall/F1 scoring. Adapting this for 12 fishing vessel classes at 1280×1280 resolution is a natural extension of what I've already implemented. Here's what I'll deliver: -Trained YOLOv8 weights (.pt) targeting 90%+ accuracy -Clean training script with configurable hyperparameters -Inference code with bounding box visualization -Full performance metrics — Precision, Recall, F1, Confusion Matrix -YOLO/COCO dataset config setup My approach: - Start with YOLOv8m or YOLOv8l (balanced speed/accuracy) - Train at 1280×1280 with augmentation (mosaic, flip, HSV shifts) - Use early stopping + validation monitoring to avoid overfitting - Export to .pt with optional ONNX for optimized inference I'm bidding ₹8,000 for the full deliverables. Happy to discuss the dataset format you have and adjust the pipeline to fit it perfectly.

@ZainAbbas51862

Gemini said Greetings Dear Hiring Manager I have read the description of your project and I understand everything. I am an expert in computer vision and deep learning with extensive experience in training YOLOv8 models for specialized maritime and industrial object detection tasks. I specialize in optimizing hyperparameter configurations for 1280x1280 high-resolution inputs to achieve 90%+ mAP, ensuring your 12-class fishing vessel detector delivers a premium balance of precision and inference speed while providing full PyTorch source code and performance analytics. I am waiting on chat to discuss more and I am willing to start it now. Best Regards, Zain Abbas

@skolarai

been working with yolov8 for a couple years now, trained models across different domains and know the framework inside out. 12 vessel classes at 1280x1280 is solid, ive handled similar multi-class detection problems and consistently hit 90%+ accuracy with proper augmentation and tuning. heres what ill deliver: fully trained weights, clean training script with validation callbacks, and inference code thats optimized for the speed/accuracy tradeoff you need. ill track precision recall and f1 throughout, plus handle the class imbalance if your dataset has it. can handle the yolo/coco format no problem, been doing this type of pipeline work regularly. ill make sure everything is reproducible and documented so you can retrain if needed. can start immediately and have a baseline model ready within a week. let me know if you want to jump on a quick call first

@qaiserkhan0318

Dear client, I have read and understood your requirements of training yolov8 model on the given dataset. I have over 3 years of experience in training and optimizing yolo models. I will provide a timely solution. Looking forward to discuss further. Regards Qaiser khan

@muqaddass27

Hello, I would be happy to assist with training a YOLOv8 model to detect and classify the 12 fishing vessel types from your dataset. As a researcher with strong experience in machine learning, PyTorch, and analytical modeling, I can build a reliable detection pipeline that focuses on both high accuracy and optimized inference performance. For your project, I will: • Prepare and verify the dataset in YOLO/COCO format. • Train a YOLOv8 model with 1280×1280 input resolution for improved detection accuracy • Tune hyperparameters and apply data augmentation to reach the ~90%+ accuracy target. • Evaluate the model using Precision, Recall, and F1 Score • Optimize inference to maintain a balanced trade-off between speed and accuracy • Provide clean training scripts and inference code for easy reuse and deployment I prioritize clear documentation, reproducibility, and model stability, so you can easily retrain or extend the system in the future. I would be glad to review the dataset details and start immediately.

@hassam945

Hi, I have done similar YOLOv8 object detection projects and I am confident I can train a high-performance model for detecting and classifying your 12 fishing vessel types. I can also offer this on a done-basis approach after seeing the results, you can proceed with payment. My profile clearly shows my experience, and you can check my portfolio where I’ve worked on more complex AI vision projects in this domain. I have strong hands-on experience with YOLOv8, PyTorch, and large-scale image datasets, ensuring optimized training and reliable performance. For your project, I will build a clean and well-structured training pipeline, targeting ~90%+ accuracy with 1280×1280 resolution, and provide full evaluation metrics including Precision, Recall, and F1-Score. The model will also be optimized for balanced inference speed and accuracy. Deliverables will include: Trained YOLOv8 weights (.pt) Clean training script Simple inference code for deployment I donot deliver messy or complicated code you will receive a clear, maintainable pipeline with strong results. I am committed and confident that this project aligns perfectly with my expertise. Let’s connect and discuss budget and timeline, and take your project to the next level with a robust detection model.

@ARAVIND046

Hi, I’m Aravind — an AI/ML developer with hands-on experience training and deploying YOLO-based detection systems. I’ve already built and trained a YOLO model for real-time fall detection, so developing a high-accuracy vessel detection model is well within my expertise. I will train a YOLOv8 model on your YOLO/COCO dataset at 1280x1280 resolution, targeting 90%+ accuracy. I’ll carefully tune augmentation, hyperparameters, and anchor settings to optimize Precision, Recall, and F1-score while keeping inference speed balanced. Deliverables will include: • Optimized trained weights (.pt) -Clean, reproducible training script -Efficient inference script -Performance metrics report I ensure production-ready results with proper evaluation and deployment support.

@punitkanzariya31

Hello, I can train a YOLOv8 model to detect and classify the fishing vessels from your dataset. I have experience working with YOLOv8, PyTorch, and object detection model training. I will train the model using the provided YOLO/COCO dataset with proper preprocessing and optimization to achieve high accuracy. I will also provide the trained weights (.pt), training script, and inference code. The model will be optimized for both accuracy and inference speed, and I will share evaluation metrics such as Precision, Recall, and F1 Score. I can start immediately and deliver the project within the required timeframe. Thank you. Punit