I will be engaging in custom object detection without any hassle
About this gig
Professional Custom Object Detection Service
Are you seeking to elevate your project with advanced custom object detection? Your search ends here! I am ready to provide my expertise in crafting personalized solutions to meet your distinct requirements.
I specialize in object detection projects using OpenCV and models like YOLO, EfficientDet, SSD, etc. I will provide comprehensive services including data annotation, labeling, YOLO configuration and retraining.
What I Offer:
- Customized Object Detection Models
- Some Product Lineup : classification, detection, counting, pose estimation, tracking, segmentation, captioning, retrieval, generation & enhancement
- Deep Learning Expertise
- Various Frameworks
- Data Augmentation
- Car detection and counting using YOLO and OpenCV (Haar Cascade).
- Real-time object detection in live streams with SSD
- Customized detection of surgical instruments by retraining the detector on specific data.
How It Works:
- Consultation
- Data Collection
- Model Development: The custom object detection model will be crafted based on your specifications
Note : We make any kind of Object Detection Models product you need
Get to know Al Asmoule
Your satisfaction is my first challenge
- FromBangladesh
- Member sinceDec 2021
- Avg. response time1 hour
- Last delivery5 months
Languages
Bengali, English, French
My Portfolio
FAQ
Are you open to undertaking substantial and extended-term projects?
Certainly, we are equipped to handle substantial and extended projects. Our clientele includes numerous significant and enduring partnerships
Does the project IP belong to the buyer?
Yes, The project's intellectual property belongs to the buyer. We're just a team developing AI/NLP software for your organization
Where is object detection used?
It finds applications in autonomous vehicles, surveillance, medical imaging, retail analytics, and augmented reality for safety, automation, and efficiency.
How does object detection work?
It involves localization (positioning objects with bounding boxes) and classification (assigning labels). Common algorithms include Faster R-CNN, YOLO, and SSD.
What challenges does object detection face?
Challenges include handling occlusions, scale variations, real-time processing, and the need for diverse training datasets.
How can object detection models be customized?
Models can be fine-tuned for specific applications by training them on domain-specific datasets, adapting them to unique features and patterns.

