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+# Task
+
+1. Download ds_test.zip https://drive.google.com/file/d/1mIdJrdFeRkEfxHnkMU38z8Bn5JBt7YIK/view
+2. Unzip and annotate images of 3.5 present and 3.5 not present using makesense.ai.
+3. Put all the images and annotation files in one folder name it ‘obj’. Put obj folder in another folder name it ‘archive’. Zip the file
+4. Trained the model using copy_of_yolo.ipynb on the zip file u created
+5. Test the model using inference_on_CPU_using_trained_model_yolov3.ipynb
+6. Demo to us that it can filter when 3.5 drive is present or not by end of day