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Case Study
Transforming Waste Management through Precision Annotation
Plastic Waste Detection and Classification
Platform
13 Refugees
in Syria impacted through this project
4,956 images
annotated with polygons
Annotation Type
Polygon
Classification
Plastic Waste Detection
Challenge
Plastic waste varies in form, color, and size, making it challenging for AI models to consistently and accurately detect and categorize these materials.
Our client faced difficulties in training their model to recognize distinct plastic types in large-scale waste collection images, which hindered the effectiveness of their waste management process.
Solution
To address this challenge, our team at Subul focused on providing detailed, high-accuracy annotations that would refine the client’s waste detection capabilities.
Using polygon annotation, our aim was to ensure each plastic item was outlined precisely, enabling accurate categorization based on unique characteristics like shape and size.
Our annotation team, consisting of 13 skilled workers from refugee backgrounds, brought valuable attention to detail and consistency to the project. By leveraging their expertise, we provided an impactful solution that met high standards of quality and accuracy.
FEATURES
Implementation:
Expert Annotation Team
Assembled a team trained specifically for plastic waste annotation, ensuring expertise in identifying diverse plastic types.
Advanced Polygon Annotation
Used Hasty’s polygon annotation tools to capture intricate shapes, locations, and unique features of each plastic item.
Quality Assurance
Conducted multiple rounds of review and quality checks to maintain high standards and consistency in all annotations.
Timely Delivery
Ensured efficient workflow to meet project deadlines, keeping the client's operations seamless.
Result:
The comprehensive dataset of 4,956 annotated plastic waste images empowered our client to significantly improve their waste classification model. Key results included:
- Increased Sorting Accuracy: With high-precision annotations, the client’s model could distinguish plastic types based on shape and size, ensuring a higher accuracy rate in classification.
- Standardized Waste Identification: Our annotations enabled the client to sort waste in line with agreed industry standards, boosting the effectiveness of their waste management system.
- Optimized Waste Processing: By accurately identifying and categorizing plastic waste, the client could streamline sorting operations, reducing processing time and increasing efficiency.
Conclusion
Through this project, Subul demonstrated how precise, quality-driven annotations can make a substantial impact on waste management efficiency. Our team’s dedication to accuracy, combined with our commitment to supporting clients with complex data needs, made this collaboration a success. By empowering the client with robust, standardized data, we helped them take a meaningful step toward a cleaner, more sustainable world.
How Subul Data Annotation Works For You
Personalized and Fully Managed
Get a dedicated project manager to handle everything from guidelines to quality control, ensuring a seamless experience from start to finish.
Multilayer Quality Control
Experience the assurance of multi-tiered QC processes, including peer review and expert checks, guaranteeing a minimum accuracy of 98%.
Diverse and Scalable Workforce
Access a diverse team of industry experts, assembled within 72 hours, tailored to fit your project's specific needs and scale.
Unbiased and Compliant
Rely on our rigorously trained workforce for unbiased data, perfectly aligned with international privacy and AI standards.
Express Delivery
Benefit from our dynamic workforce, capable of rapidly scaling up to meet tight deadlines and ensure swift project delivery.
Direct Social Impact
Make a difference with every project; our entire workforce comes from refugee and disadvantaged backgrounds, contributing to social goals.
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