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Computer Vision Solutions
"BlueBash AI specialises in harnessing advanced deep learning techniques in computer vision to drive profound business transformations."
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We are a team of top custom software developers, having knowledge-rich experience in developing E-commerce Software and Healthcare software. With years of existence and skills, we have provided IT services to our clients that completely satisfy their requirements.
What We Offer in Deep Learning Computer Vision
Object detection is the process of pinpointing objects in images or videos, often using deep learning methods like CNNs and YOLO. These algorithms learn from labeled data to identify and locate objects in new visuals.
Image classification involves assigning predetermined labels to images, typically using CNNs or Transfer Learning methods. The model learns from a dataset with labeled images, enabling it to predict labels for new, unseen images by analysing their visual characteristics.
Custom Vision Models
Our custom-designed deep learning models are crafted to address your unique visual recognition needs. Our data scientists create tailored models by fine-tuning existing architectures or developing new ones, based on a deep understanding of your requirements.
History of Deep Learning Computer Vision
LeCun introduces CNNs, revolutionising image recognition.
ImageNet competition begins, stimulating developments in deep learning.
Advances and Milestones
AlexNet wins ImageNet, making deep learning mainstream in vision.
ResNet introduces residual learning, improving performance.
Real-World Applications and Ethics
Computer vision used for social distancing monitoring.
Ongoing discussions about bias and fairness in image recognition.