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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: string |
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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: train |
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path: data/train-* |
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license: apache-2.0 |
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language: |
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- en |
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task_categories: |
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- object-detection |
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tags: |
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- objectDetection |
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- ComputerVision |
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- vision |
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- synthetic |
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- syntheticData |
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- Yolo |
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- YOLOv8 |
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- multiclass |
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- multiclassobjectdetection |
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- training |
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- free |
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size_categories: |
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- 1K<n<10K |
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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 multiclass object detection -- and it's 100% free! |
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Just [create an EDU account here](https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn&utm_source=huggingface&utm_medium=dataset&utm_campaign=multiclass). |
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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/secure/documentation/ex3-dataset?sidebarMode=learn&utm_source=huggingface&utm_medium=dataset&utm_campaign=multiclass). 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 INDISTINGUISHABLE 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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|-- images/ |
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| |-- 000000000.png |
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| |-- 000000001.png |
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| |-- ... |
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|-- labels/ |
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| |-- 000000000.txt |
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| |-- 000000001.txt |
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| |-- ... |
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``` |
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### Components |
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1. **Images**: RGB images of the object in `.png` format. |
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2. **Labels**: Text files (`.txt`) containing bounding box annotations for each class |
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- 0 = cheerios |
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- 1 = soup |
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## Licensing |
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license: apache-2.0 |
