π£ Object detection enthusiasts, I have some exciting news for you! π£
ποΈ @deci_ai brings you YOLO-based architecture, YOLO-NAS for object detection which has just been open-sourced!
A Game-Changer for Enthusiasts!
A threadπ§΅π
ποΈ @deci_ai brings you YOLO-based architecture, YOLO-NAS for object detection which has just been open-sourced!
A Game-Changer for Enthusiasts!
A threadπ§΅π
1. What's the NAS all about?
Researchers at Deci used Neural Architecture Search (NAS) to automate the discovery of an optimal object detection architecture.
π€― They used deep learning to find a new deep learning architecture!
Researchers at Deci used Neural Architecture Search (NAS) to automate the discovery of an optimal object detection architecture.
π€― They used deep learning to find a new deep learning architecture!
2. Key points about YOLO-NAS:
π©οΈ Enhanced detection of small objects, improved localization accuracy, and performance-per-compute ratio.
π± Ideal for real-time edge-device applications.
𧱠Incorporates quantization-aware RepVGG blocks and applies them for optimal performance.
π©οΈ Enhanced detection of small objects, improved localization accuracy, and performance-per-compute ratio.
π± Ideal for real-time edge-device applications.
𧱠Incorporates quantization-aware RepVGG blocks and applies them for optimal performance.
3. π‘ Leverages attention mechanisms, quantization-aware blocks, and reparametrization at inference time, setting a new gold standard for object detection across industries.
4. ποΈ Trained in a multi-phase process involving pre-training on Object365, COCO Pseudo-Labeled data, Knowledge Distillation (KD), and Distribution Focal Loss (DFL).
5. π Outperforms existing YOLO models on the diverse RoboFlow100 (RF100) dataset, following a robust training protocol, providing significant advantages in various use cases. π
Make sure to star the SuperGradients GitHub repo, play around with the starter notebook and let's revolutionize the field of computer vision together. π«
GitHub repo: bit.ly/yolo-nas-launch
GitHub repo: bit.ly/yolo-nas-launch
Try out this starter notebook to get introduced to the SuperGradients library + YOLONAS model
Starter NB Link: bit.ly/yolo-nas-startβ¦
Starter NB Link: bit.ly/yolo-nas-startβ¦
Thank you so much for reading this, for more such posts follow @nevrekaraishwa2
#yolonas #computervision #yolov8
#yolonas #computervision #yolov8
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