334 - Training custom instance segmentation model using YOLO v8

This video walks you through the process of training a custom YOLO v8 model using your own data.

Data courtesy of: Guay, M.D., Emam, Z.A.S., Anderson, A.B. et al. ​Dense cellular segmentation for EM using 2D–3D neural network ensembles. Sci Rep 11, 2561 (2021). ​

To prepare this dataset for YOLO, the binary masks were converted to the YOLO format. Please follow this tutorial to learn about this process.

For information about YOLO models:

[gerokatseros]

Your videos are super helpfull!!! don't change anything!

[baraspilkova]

Thank you so much for your tutorials! Very informative and helpful

[fkjljsn]

one feedback is that you put a timestamp or at the start of the video the content divided in which parts of the video you will teach them. And thank for the content, its very clear, and I much appreciate it.

Also I have this question, I notice that in the detectron2 video, you fine tune the model with 5 images for training and 2 for test, I would think that this is too little, it's posible tu fine tune a model with so little images? is there a min image?

[vtjustin]

Hallo Sreeni, I just love all your videos. And really thankful for you for putting all the efforts and for making us understand it in such a simlple way. Now I have a kind of unique case to find some kind of failures from images. So it would be great if I can connect with you and able to share some of the images with you. I am pretty sure that you can help me out on this.

[WasiurRahaman-exyv]

sir your video is very great, i love it

[ErtizaAbbas]

Good to see again .
I will be very helpful if you make a tutorial on classification, segmentation of bio products, any can be content in honey, or any other natural liquid product. Thank you for your efforts 👌

[salvadornunez]

genial gracias x tu tutoriales saludo desde argentina.

[tamerzohdy]

Amazing job. Thanks a lot for this tutorial

[ihtyyrj]

Thank you for your tutorial! It would be very helpful if you could provide tutorial on nucleoli segmentation on H&E images.

[fpdtqbo]

Great work. Big fan. Can you make video on cancer image segmentation if possible?

[kvnptl]

Hi, this is semantic segmentation and not instance segmentation. For instance segmentation, there should be unique ID for same object class.

[loganw]

Hi, I have a orthophoto from a drone after it has stitched many individual images together. How would I then apply segmentation to this large TIF file? Want to eventually classify each tree in the image as healthy or diseased.

[ghillesainouche]

Thank you for your video, quick question, How do you make the bounding boxes not show? so you get only the segmentations

[fwxzewe]

thank youo for the great tut :] i have a question after the model successfully resized the images to 800x800 and generated corresponding masks of the same size, I'm curious about the possibility of upscaling both the resized images and masks to their original dimensions. Additionally, I'm interested in maintaining the accuracy of the predicted polygons during this upscaling process. Is there a feasible method for achieving this, and if so, how can it be implemented effectively?

[prodbyryshy]

sorry if this is something you already explained, but this model i assume doesnt actually take 3D images as in 3 dimensional tiffs (height, width, depth), when it says it does 3d segmentation thats specifically referring to 3D scenes not actual 3D images, correct?

[soukainatariki]

I used the same way to fine tune my model but l saw that the value of box loss increase with each element, it started with 0.700 and termined with 0.977 !
what l have to do ?

[shubhammakwana]

Hi sir, If In video The object will break in more number than will it show in same color or id.

[ChattyCheerful]

Hey, do u know where us is the train.json file which is required for the annotation, in order to create instance segmentation

[raihanvalentino]

Hello! in your video you display a mask_array according to mask number. How do I display the entire mask_array?

[geospatial]

Dear sir,

Actually I want to classify tree species from high resolution image (12.5 cm). First of all I tried to experiment for individual tree crown segmentation using YOLO-8 model but in my case I have found multiple polygon for each tree instead of a single polygon. Can you please advise me why it happened?