REAL-TIME LIVE OBJECT DETECTOR TO DETECT RIPE AND UNRIPE TOMATOES
$12-30 SGD
Ditutup
Disiarkan hampir 4 tahun yang lalu
$12-30 SGD
Dibayar semasa penghantaran
- 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
BUDGET: SGD50 Read Less
####### YOLO V3 Expert ######
I have already implemented very intresting Real Time object Detector using YOLO you can see my projects on my freelancer.
I have 3 years industrial experience in machine learning and deep learning specially in computer vision.
Thanks
Dear sir.
Your project attracted my attention at first glance, because I've extensive experience in Python & Machine Learning Programming.
I'm really confident about your project, and very eager to join your project.
If we have a chance to cooperate, I'll do my best to provide wonderful result.
Looking forward to your response.
Best Regards.
Hello !!
I can help you with this, I have experience working with Yolov3 on Labeling, Training, and object detecting.
Price by Hour -->> 30 SGD
Price by Project -->> 1000 SGD
I have worked on object detection models (RCNN, Mask-RCNN, SSD, Yolo v2). It requires some time to annotate the images, train the model and later perform the evaluation for correctness.
If interested, we can discuss and take it forward.