Algorithm & Library Banana Image Recognition Using Deep Learning freelancer Recommended
Data aggregation at 2024-04-28 09:25:54+08:00
Investment: 1000 dollars (USD) - Negotiated Hits: 186
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...