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RTDETR_on_COCO8
anurag2506/RTDETR_on_COCO8
RTDETR_on_COCO8 is a machine learning model from anurag2506. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a Vision Transformer (ViT) based object detection and tracking model, trained on the COCO8 dataset.
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Public
Updated Dec 23, 2024
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At a glance
- Access
- Public
- Created
- Dec 23, 2024
- Updated
- Dec 23, 2024
- SHA
- e5703cc3
Model card
From the Hugging Face model README
RTDETR Model on COCO8 Dataset
This model is a Vision Transformer (ViT) based object detection and tracking model, trained on the COCO8 dataset.
Model Details
- Model Type: RTDETR (a Vision Transformer based object detection and tracking model)
- Trained On: COCO8 dataset (people with and without coats)
- Training Epochs: 100 epochs
- Input Size: 640x640 pixels
- Output: Detects and tracks objects through the frames in any input video
How to Use
You can use this model directly from the Hugging Face Hub. Below is an example of how to use it for inference on your images.
- Created
- Dec 23, 2024
- Updated
- Dec 23, 2024