Identifying types of vegetables.
Budget: $30 – $250 USD
Create the image library with labels. Each group has at least 50 image groups. The whole image library should have more than 1000 images with correct labels. You are expected to write Python to implement any deep learning algorithms. In this, you will train the AI programs, then test their results. Please split this image library into two parts: training image set and testing set. Usually, training image set has 80% of the total images, but testing image set has 20%.
There is no overlap between the training image set and testing image set, which means an
image belongs to the testing groups that will not exist in the training sets.
After feeding the testing image, program should output detailed information and statistical results. Detail Information includes the presidential name and corresponding confidence: “ Mushroom with 99.56% confidence” Statistical results are the quantity results: “Test 200 images, the average accuracy is 97.89%”.
There is no overlap between the training image set and testing image set, which means an
image belongs to the testing groups that will not exist in the training sets.
After feeding the testing image, program should output detailed information and statistical results. Detail Information includes the presidential name and corresponding confidence: “ Mushroom with 99.56% confidence” Statistical results are the quantity results: “Test 200 images, the average accuracy is 97.89%”.