Your Goal is to predict the genuiness of image of Pavbhaji(an Indian food item) based on the metadata provided in json file.
Instagram posts data for #pavbhaji
----Dir --- dataset |----- images (Segregated images in "0" & "1") |----- Json file
Where json file consist of entries for post and its metadata.
- Use the Segregated data into positive(pavbhaji)("/dataset/1") and negative (non-pavbhaji)("/dataset/0") dirs
- Build a model that could Distinguish between pavbhaji and non-pavbhaji images from ("/dataset/pavbhaji") json entry
- Attain a level of Accuracy
Your deliverables are:
- Source Code (.py or .ipynb) with Accuracy and Performance Parameters
- Explain why you choose particular Model
- What are the challenges you faced while working on the data?
- How did you overcome those and what approach you try to solve the problem? And mail it us at connect(at)drivebuddyai(dot)com
- We will evaluate you based on
- Your Coding & Achieved level of accuracy
- Your Problem Solving approach
- Time Taken to Solve the Problem