Object Detection
Transformers
PyTorch
TensorBoard
detr
Generated from Trainer
computer-vision
its
autonomous-driving
Instructions to use mcity-data-engine/fisheye8k_facebook_detr-resnet-101-dc5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcity-data-engine/fisheye8k_facebook_detr-resnet-101-dc5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="mcity-data-engine/fisheye8k_facebook_detr-resnet-101-dc5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("mcity-data-engine/fisheye8k_facebook_detr-resnet-101-dc5") model = AutoModelForObjectDetection.from_pretrained("mcity-data-engine/fisheye8k_facebook_detr-resnet-101-dc5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card with detailed info, links, tags, and sample usage
#3
by nielsr HF Staff - opened
This PR enhances the model card for fisheye8k_facebook_detr-resnet-101-dc5 by:
- Adding the
pipeline_tag: object-detectionto the metadata, improving discoverability on the Hub. - Updating the
licensetomitas explicitly stated in the project's GitHub repository. - Adding relevant
tagssuch asobject-detection,detr,computer-vision,its, andautonomous-drivingfor better categorization. - Integrating the paper's Arxiv link into a dedicated "Paper" section.
- Including direct links to the GitHub repository and the project page.
- Expanding the "Model description" and "Intended uses & limitations" sections with details from the paper abstract and project context.
- Clarifying the "Training and evaluation data" section by mentioning the specific dataset.
- Providing a clear Python code snippet for sample usage with the
transformerslibrary. - Adding the BibTeX citation from the project's GitHub.
- Removing the automatically generated boilerplate comment at the top.
danielbogdoll changed pull request status to merged