A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥 
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A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥 
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D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩
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D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩
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> Collection with all checkpoints and demo 
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> Collection with all checkpoints and demo 
https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352
ustc-community/d-fine-68109b427cbe6ee36b4e7352
collection
resource
https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352
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Notebooks:
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Notebooks:
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> Tracking 
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> Tracking 
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
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> Inference 
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> Inference 
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
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> Fine-tuning 
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> Fine-tuning 
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
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h/t 
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h/t 
@vladislavbro
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vladislavbro
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@qubvel-hf
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qubvel-hf
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@ariG23498
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ariG23498
  and the authors of the paper 🎩
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  and the authors of the paper 🎩
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Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️
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Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️
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D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩
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D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩
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Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️
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Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️
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this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant. 
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this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant. 
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A real-time object detector much faster and accurate than YOLO with Apache 2.0 license just landed to Hugging Face transformers 🔥 

D-FINE is the sota real-time object detector that runs on T4 (free Colab) 🤩

> Collection with all checkpoints and demo https://huggingface.co/collections/ustc-community/d-fine-68109b427cbe6ee36b4e7352

Notebooks:
> Tracking https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_tracking.ipynb
> Inference https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_inference.ipynb
> Fine-tuning https://github.com/qubvel/transformers-notebooks/blob/main/notebooks/DFine_finetune_on_a_custom_dataset.ipynb
h/t @vladislavbro @qubvel-hf @ariG23498  and the authors of the paper 🎩

Regular object detectors attempt to predict bounding boxes in (x, y, w, h) pixel perfect coordinates, which is very rigid and hard to solve 🥲☹️



D-FINE formulates object detection as a distribution for bounding box coordinates, refines them iteratively, and it's more accurate 🤩

Another core idea behind this model is Global Optimal Localization Self-Distillation ⤵️

this model uses final layer's distribution output (sort of like a teacher) to distill to earlier layers to make early layers more performant. 


🚀
John6666 roldanjorge ariG23498 goutham794 Bubble2003 aquiffoo AdinaY adamm-hf Fishtiks ghostai1 mertbozkurt stefan-it ysdede s3nh
👍
panqa401 roldanjorge ariG23498 testdummyvt m8x7b ClementeH AdinaY adamm-hf ghostai1 Makar7 s3nh
🔥
aquiffoo ugotsoul adamm-hf Akhil-Theerthala roldanjorge NillsiS
❤️
zuppif adamm-hf roldanjorge bobse
6616d277007cf0aeb2600b77
https://cdn-avatars.huggingface.co/v1/production/uploads/6616d277007cf0aeb2600b77/EoI9sCAQItzW-qmscjWdt.jpeg
John Locke
johnlockejrr
user
67daa1ace464cecf6df3dc8e
https://cdn-avatars.huggingface.co/v1/production/uploads/67daa1ace464cecf6df3dc8e/Uu6ge-iDzNfpxe9vBtgIT.png
diginoron - digital transformation
diginoron
user