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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Complete ImageAI Training: Getting Started with Image Detection Using Deep Learning training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Complete ImageAI Training: Getting Started with Image Detection Using Deep Learning training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Complete ImageAI Training: Getting Started with Image Detection Using Deep Learning training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Introduction to computer vision, deep learning applied to images, and professional use cases. Installation of Python, TensorFlow, and ImageAI. ImageAI project structures and development environment setup.
Using pre-trained object detection models (YOLOv3, RetinaNet, TinyYOLO). Importing images and videos, object identification, and data extraction. Exercises: Object detection on real images. Introduction to image classification, using standard models, and interpreting results.
Creating and training a detection or classification model on a custom dataset. Managing annotations and preparing training data. Integrating ImageAI into a Python application (web/API). Advanced topics: optimization tips, performance management, deployment. Sector-specific case studies (industry, healthcare, media).
Target audience
Developers, data scientists, students, or professionals wishing to integrate image detection and recognition solutions into their projects with Python.
Prerequisites
Basic Python knowledge recommended, general data science knowledge desirable.
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