Datasets:
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README.md
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splits:
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- name: train
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num_bytes: 14474596.43478261
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- name: test
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num_bytes: 3800851.565217391
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num_examples: 5
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download_size: 18278418
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dataset_size: 18275448
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configs:
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- config_name: default
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data_files:
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path: data/
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path: data/
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license: apache-2.0
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language:
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---
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# DATASET SAMPLE
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We will be releasing a sample of our datasets here on HuggingFace, and making the rest of the 1000+ image datasets available to anyone who signs up for a free account -
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The dataset has the following structure:
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```plaintext
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Multiclass Object Detection Dataset/
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splits:
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- name: train
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num_bytes: 14474596.43478261
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num_examples: 20
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download_size: 18278418
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dataset_size: 18275448
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configs:
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- config_name: default
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data_files:
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- split: images
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path: data/images-*
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- split: labels
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path: data/labels-*
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license: apache-2.0
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language:
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- en
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---
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# DATASET SAMPLE
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[Duality.ai ](https://www.duality.ai/edu) just released a 1000 image dataset used to train a YOLOv8 model in object detection -- and it's 100% free!
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Just [create an EDU account here](https://falcon.duality.ai/auth/sign-up).
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This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by [creating a FalconCloud account](https://falcon.duality.ai/auth/sign-up). Once you verify your email, the link will redirect you to the dataset page.
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What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?
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- The digital twins are not generated by AI, but instead crafted by 3D artists to be INDISTINGUISABLE to the model from the physical-world objects. This allows the training from this data to transfer into real-world applicability
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- The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more. This enables robust model training.
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- The labels are created along with the data. This not only saves large amounts of time, but also ensures the labels are incredibly accurate and reliable.
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# Dataset Structure
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The dataset has the following structure:
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```plaintext
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Multiclass Object Detection Dataset/
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