- MUST BE ABLE TO BUILD A REAL-TIME LIVE OBJECT DETECTOR TO DETECT RIPE AND UNRIPE TOMATOES
- MUST USE YOLO V3, DARKNET
- MUST DOCUMENT A STEP BY STEP PROCEDURE AND HOW EACH THING IS DONE BECAUSE I AM NOT GOOD WITH PROGRAMMING AND CODING
- MUST TRAIN THE DETECTOR WITH 1200 PICTURES
- MUST BE ABLE TO ADD COORDINATES TO THE BOUNDING BOXES OF THE LABELING FOR EXACT LOCATION
I HAVE A PRETRAINED DETECTOR ON MY LAPTOP BUT IT DOES NOT WORK THAR WELL SO IT HELPS, SO IF CAN BUILD ANOTHER ONE WILL BE GREAT.
THIS SOFTWARE MUST BE ABLE TO BE DOWNLOADED ON A FEW DEVICES
11 freelancers are bidding on average $1119 for this job
Hi, there. I have many experience in object detection projects using tensorflow and opencv. If you award me, I can guarantee the qualified results on time. I hope to corporate it with you. Best regards.