Відео

how to train this model on custom dataset for OCR

Please sir also tech us how to annotate with it

Thanks Sir. Please do fine-tuning for Oct, captioning and segmentation task

Thanks a ton for this awesome video! Every single term is explained so clearly-it's super helpful. I can't wait to dive in the code and start putting this knowledge to use!

Is this applicable to grade handwritten pdf math assignments?

Thank you

Very informative video. Thanks for making auch a valuable video free of cost. Just one request when your you make tutorials if possible try to do inferencing, training or fine tuning on agricultural or satellite related data.

Nice video, as usual

I've been waiting for this tutorial for days. Thank you again for being the first to comprehensively review this new model. Super exited! 🎉🥳

should do this for every single image in batch . or we can do one image and replace it with batch of image?

Amazing intro to Roboflow and Object detection. Very intuitive platform for dataset creation.

Awesome! Just Awesome straight to point tutorial.

Very good explanation. One doubt on real time detection. what should be the maximum distance for YOLOv9 to detect the object? can it detect at 30ft or 40 feet could you please provide these details?

I am facing an issue when I try this notebook AttributeError Traceback (most recent call last) <ipython-input-50-314f4612d4ab> in <cell line: 12>() 10 11 # annotators configuration ---> 12 thickness = sv.calculate_dynamic_line_thickness( 13 resolution_wh=video_info.resolution_wh 14 ) AttributeError: module 'supervision' has no attribute 'calculate_dynamic_line_thickness'

Hi , i have a problem , when training the yolo creates new dataset by itself and trains on that without training on my own custom datasety , how to fix it ?

Hello, how can I get performance metrics such as precision and recall while training and evaluating the model?

All at once in the sense, rather than annotating all the images manually is there any way we could do it faster?

I want to use this project. It works on the hugging face, but strangely it doesn't fit my environment, it doesn't work on my PC. I want to "clone" that on the hugging face, is there a way?

There needs to be correction factor along the path…it’s like drawing the globe on a flat piece of paper. If you watch cars driving away on the right side, their speed is 140 kph and “reduces” to 133 kph: which is very unlikely. I know the trapezoid can be limited to those vehicles closest to the camera but I thought you might like to tweak your algorithm. 👍

How to annotate all the images at once? I couldn't find that option

Cant load kagle dataset any another way

i get this error: "SupervisionWarnings: The `frame_resolution_wh` parameter is no longer required and will be dropped in version supervision-0.24.0. The mask resolution is now calculated automatically based on the polygon coordinates. SupervisionWarnings: red is deprecated: `Color.red()` is deprecated and will be removed in `supervision-0.22.0`. Use `Color.RED` instead. Traceback (most recent call last): File "f:\PYTHON\smartCCTV-YoloV8\main.py", line 81, in <module> main() File "f:\PYTHON\smartCCTV-YoloV8\main.py", line 58, in main result = model(frame, agnostic_nms=True)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\laragon\bin\python\python-3.11\Lib\site-packages\ultralytics\yolo\engine\model.py", line 58, in __call__ return self.predict(source, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\laragon\bin\python\python-3.11\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "D:\laragon\bin\python\python-3.11\Lib\site-packages\ultralytics\yolo\engine\model.py", line 130, in predict predictor.setup(model=self.model, source=source) File "D:\laragon\bin\python\python-3.11\Lib\site-packages\ultralytics\yolo\engine\predictor.py", line 111, in setup source = str(source or self.args.source) ^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()" please help me

I want to ask if the dataset I have doesn't have a map label, can it be used for this code?

Hello, how can I see validation loss?

This Cool! You might like PlateCatcher

i keep vscode on half screen and other half is for youtube, but your code is not properly visible, it's too small to copy from video, also I don't want github links to supervision and inference but direct link to the script file that you have used in this video.

Are there any footage requirements for inputting into YOLOV8? I am trying to use it for sports analysis and wondered whether you need the whole pitch/tactical wide lens?!how zoomed in does it need to be? Will it capture a ball being hit at really high speeds?

Nice tutorial. The training status has been stuck at "Training machine starting..." for hours. The number of custom images of mine is 10. Each size is around 2mb. jpeg. Could overlapping bounding boxes be the root?

i am getting this error AttributeError: module 'supervision' has no attribute 'BoxAnnotator'

THANK YOUU SO MUCHH BROO 👍👍👍👍👍👍

i want to learn AI .please make a playlist ..

Can you make a video on person re identification.

Can you make a video on person re identification.

Can you make a video on person re identification.

Can you make a video on person re identification.

Can you make a video on person re identification.

Can you make a video on person re identification.

ita a best

How do I add speed detection in this

Very nice!

Hello, Piotr Skalski! Hello everyone... I am diving a little into the code here... 😁 Quick question - how do I add an image into a detection-box from Supervision? Thanks

Hey iam using yolov9 to detect diease and i wnat to use paleema gemma to give me features and generate Pdf report is this fine

can you do as well as in VQA😊 using pytorch code

Can we get an updated version of this? Training tensorflow with roboflow

The fact that you care about licensing that helps us all out, instant subscribe. Pretty tired of seeing AGPL Licensed code/models being used over and over.

detections = sv.Detections.from_yolov8(result) AttributeError: type object 'Detections' has no attribute 'from_yolov8' error

Great work, thank you for sharing!

Great tutorial @roboflow !!! Is it possible to train same model for VQA as well as object detection? Can you provide any example of how the JSONL file should look like in such cases?

Hi, Can I fine-tune the model on a medical dataset? Currently, the model is not performing well on this data, and the results indicate that it is not suitable for medical data out-of-the-box. If I fine-tune the model on my dataset, which consists of approximately 200 to 300 images, will it work better? Additionally, is it possible to quantize this model to reduce its size from 3B to something smaller without significantly compromising its performance? Thank you.

Around 1:06:46 you present the non max merging in supervision. So far it only works for bboxes? Would be cool to have something for the masks from instance segmentation as well. But thanks for the hint