diff --git a/README.md b/README.md index 2e19d27..a3654dc 100755 --- a/README.md +++ b/README.md @@ -7,46 +7,39 @@

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Acknowledgement to ITMO - + Open In Colab
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ODRS - it an open source recommendation system for training object detection models. Our system allows you to choose the most profitable existing object recognition models based on user preferences and data. In addition to choosing the architecture of the model, the system will help you start training and configure the environment. + + +

The proposed recommendation system consists of several components that interact to generate recommendations for machine learning pipelines.
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External parameters (received from users and third-party resources): * Dataset: Represents input data (video frames) and associated metadata (e.g. image size, quality, number of objects). * Model: Framework provides an opportunity to train the most popular object recognition models (including setting up the environment and choosing the architecture of a specific model). Considered two-stage detectors models such as Faster R-CNN and Mask R-CNN as well as one-stage detectors such as SSD and YOLO (including families v5, v7, v8). -
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- Internal components: -* ***RecommendationEngine***: generates recommendations based on user data and dataset characteristics. -
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- +***RecommendationEngine***: +generates recommendations based on user data and dataset characteristics. The recommendation algorithm is based on production rules. The primary set of rules (knowledge base) is formed on the basis of the results of the analysis of scientific sources and standard data sets, but also empirical processing of data sets from specific industries. @@ -57,16 +50,9 @@ The main criteria for drawing up the rules were chosen: 3. The speed of the model on GPU and CPU 4. Supported image format and dimension +***Training*** - Training of models proposed by the system -* ***Training*** - Training of models proposed by the system -
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- -* ***Evaluation*** – evaluation of the quality of training models - +***Evaluation*** – evaluation of the quality of training models ## Contents diff --git a/docs/img/alg.gif b/docs/img/alg.gif new file mode 100644 index 0000000..3105efd Binary files /dev/null and b/docs/img/alg.gif differ diff --git a/docs/img/prew.gif b/docs/img/prew.gif new file mode 100644 index 0000000..b1a3541 Binary files /dev/null and b/docs/img/prew.gif differ