I will build your end to end object segmentation project


Über diesen Service
Hello,
Have 6+ years of with experience in AI-driven projects ,Backend development and Deployment the AI model. I am passionate about building scalable AI solutions.I thrive on solving complex problems and optimizing AI systems for real-world applications..Interviewed at FAANG company for multiples time.
Project Description:
I will develop a custom object detection model that identifies clothing items in images and displays the detected class name above the bounding box. The model will be trained on the DeepFashion dataset, ensuring high accuracy in recognizing various apparel types.
Provided Services:
- Development end to end detection model
Library and Frameworks:
- Python
- Tensorflow
- Pytorch
- Keras
- Numpy
- Pandas
- MatPlotlib
Tools :
- Git,
- Bitbucket
- CI/CD
- GCP.
- jupyter notebook
- VScode
- colab
Accelerators :
- GPU
- TPU.
Lerne Ab Qyum kennen
Staff AI Engineer
- AusBangladesch
- Mitglied seitOkt. 2022
- ⌀ Antwortzeit1 Stunde
- Letzte Lieferung1 Jahr
Sprachen
Bengalisch, Englisch
FAQ
How is object detection used in the apparel industry?
t is used for virtual try-ons, inventory tracking, automated tagging, counterfeit detection, and customer analytics.
What datasets are commonly used for apparel object detection?
Popular datasets include DeepFashion, ModaNet, and Fashion-MNIST for training AI models.
What models are best for detecting clothing items?
YOLO, Faster R-CNN, and SSD are commonly used due to their speed and accuracy.
How does object detection improve e-commerce experiences?
It enables automatic product tagging, personalized recommendations, and AR-based virtual try-ons.
What challenges exist in apparel object detection?
Variations in lighting, occlusions, fabric textures, overlapping garments, and different poses can affect detection accuracy.

