Loading...
Please wait a moment
New
Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Jul 1, 20268 min readDallas
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJun 1, 20268 min readRaleighArtificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiOct 1, 20268 min readSan FranciscoProfessional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiDec 1, 20268 min readTucsonThe Training: Mastering Detectron2 - Complete Computer Vision with 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 Training: Mastering Detectron2 - Complete Computer Vision with 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 Training: Mastering Detectron2 - Complete Computer Vision with 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.
Overview of computer vision tasks, presentation of Detectron2, installation and Python environment setup, differences between models such as Faster R-CNN, Mask R-CNN, RetinaNet. First tests on demonstration data.
Loading pre-existing datasets (COCO, Pascal VOC), configuring pipelines, initial training on GPU, evaluation and understanding of key metrics (AP, IoU, confusion matrix). Using tools for result visualization.
Choosing a suitable dataset format, using annotation tools (Labelme, CVAT, VGG Image Annotator), importing and converting data for Detectron2. Directory structuring, class management, adapting scripts to custom datasets.
Modifying architectures (adding heads, adapting output), hyperparameter tuning to improve performance, handling common issues (overfitting, class imbalance, computation time), using fine-tuning to adapt pre-trained models to specific needs.
Exporting and deploying models in various environments (REST server, cloud, edge), automating inference, integrating into business pipelines. Real-world case studies: object detection, industrial image segmentation, medical analyses. Advice for model maintenance and updates.
8 participants max.
$6,600 / per person
5 days
remoteTarget audience
Engineers, data scientists, researchers, and developers wishing to implement state-of-the-art computer vision models
Prerequisites
Python basics, experience with deep learning frameworks (PyTorch preferred), fundamental knowledge of convolutional neural networks
Loading...
Please wait a moment
Share in 2 clicks
Avancée
€2,100.002 journées
distanciel10 pers. max.Novice€5,250.005 journéesdistanciel10 pers. max.Avancée€4,200.004 journéesdistanciel10 pers. max.Novice€5,250.005 journéesdistanciel10 pers. max.