Hey, I've gone through 10 different companies and I still love yours the most. I'm excited about your service and also run two RU-vid channels with 560k and 280k subscribers. Could we work together to make a video about your service? I have some ideas for how I would do the video. Have you done any work with RU-vidrs in the past? I hope we can work together on this collaboration. If you have any questions, feel free to ask. Best regards, diaa maroufi.
Nice video, will there be an update for python 3.11.9? 'Cause when i installed requirements it showed that it only accepted versions from 3.7 to 3.11 , (3.11.9) it is what I use in visual code, thanks regards
Do you have plan to release tutorial about finetuning Florence-2 on other vision tasks such as captioning? I wonder if Florence-2 can be tuned in a way so it can do object detection/classification and also provide the reason for its prediction.
Great job. I have a question. Could this model help me detect image manipulation traces, such as physical photo substitution or digital tampering like splicing, cloning, and airbrushing? Feel free to suggest any other model. Thank you
@@Roboflow sorry, I cannot find the Google Colab about fine-tuning the PaliGemma model for the segmentation task. Would you please give me the web address? Thank you very much.
Thank you for this very informative video. Something like this helps enormously. Dziękuję! I have a question and maybe someone here can give me a tip. I am looking for a tool that searches for similar images in a folder and shows me the results so that I can clean up the data set later. I have already found tools that do this, but they mainly work with image hashing methods or use fuzzy matching algorithms. But I wonder if there aren't already tools that use AI to solve this task. Does anyone use such a tool?
Master, could you please tell me if Florence-2 can perform SER (Semantic Entity Recognition) and RE (Relation Extraction) tasks? If so, what should my dataset look like? 🤔
This RF channel & blog really are the one and only best sources of information to stay on the edge for intermediate data scientists/ml engineers with a practical approach. Ultralytics YT channel is also improving a lot lately! I <3 Roboflow
Hell Sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetuning Yolov5 model for custome images classification.
@@Alan-b8o CHECKPOINT = "microsoft/Florence-2-base-ft" REVISION = 'refs/pr/6' use the path to your model in place of "microsoft/Florence-2-base-ft" and remove REVISION and then modify model and processor to look like this model = AutoModelForCausalLM.from_pretrained(CHECKPOINT, trust_remote_code=True).to(DEVICE) processor = AutoProcessor.from_pretrained(CHECKPOINT, trust_remote_code=True)
I think you asked me this question on Twitter, but let me answers here as well. 1. Longer training could fix it. 2. Fuzzy class matching. In the video we filter out anything that is not exact match. Hamming distance for example.
For the community session I have a couple of (beginner) questions: - the google collabs on roboflow seem to be linux based, is there an easy way to make them work on windows? - in general, how do I download a model (YOLO) to use in a python app (on windows) - are there models that would run for realtime video detection on a regular laptop with an integrated iGPU? - I am planning to use a YOLO model for a sports live stream, but only have a simple 3 Year old mid range laptop on me - would it be better to send the stream over to my desktop PC with an Rtx3060Ti-8GB and let the model run there (and send back the detection back and sync on the laptop) - if a laptop is underpowered? - for simple applications, like the realtime sports detection of yours, would it be better to run it on my own hardware or investigate in cloud servers for inference? Thank you very much for your tutorials, the help a lot!
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!
@@Roboflow {'<DETAILED_CAPTION>': 'In this image we can see a book with some text on it.'} This is the test output of a handwritten math problem deduction, is there someway to get more detailed caption or the OCR output?
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.