Banana Image Recognition Using Deep Learning - Algorithms, libraries, etc - Projects and Requirements - JunHen

Algorithm & Library Banana Image Recognition Using Deep Learning freelancer

Data aggregation at 2024-04-28 03:39:24+08:00

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💥 Project Description

Investment: 600 dollars (USD) - Negotiated

Development duration: 4 days

Project keys/tags: python tensorflow algorithm deep-learning transformer-model

TASK 1 Create an object detection model using R-CNN, Yolo, or SSD. Since there’s no small dataset such as MNIST and Fashion-MNIST in object detection, you can use the dataset from the d2l/notebooks/mxnet/chapter_computer-vision/ notebook. The dataset has 1000 banana images with different rotations and sizes placed randomly on some background images. 1.A Obtain the dataset. Working on a small dataset such as the one from the would allow you to train and test different models without taking hours/days to finish. Go to the notebook and obtain the dataset. 1.B Build an object detector. • using YOLO, and SSD. (need two separate notebooks) • Using the dataset, train, or fine- tune (a pre-trained model) to create an object detector. • Test on the test split of the datas…

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💥 Recruitment conditions

Recruitment role: Person - Engineer

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