Spaces:
Sleeping
Sleeping
| title: Amazon Products Demo | |
| emoji: 📈 | |
| colorFrom: indigo | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 3.41.2 | |
| app_file: app.py | |
| pinned: false | |
| Description: | |
| We present a demo for performing object segmentation using a model trained on Amazon's ARMBench dataset. The model was trained on over 37,000 training images and validated on 4,425 images. | |
| Usage: | |
| You can use our demo by uploading your product image, and it will provide you with a segmented image. | |
| Dataset: | |
| -The model was trained on the ARMBench segmentation dataset, which comprises more than 50,000 images. | |
| -License: Creative Commons | |
| -Paper: ARMBench: An object-centric benchmark dataset for robotic manipulation | |
| -Authors: Chaitanya Mitash, Fan Wang, Shiyang Lu, Vikedo Terhuja, Tyler Garaas, Felipe Polido, Manikantan Nambi | |
| You can learn more about this dataset on https://www.amazon.science/blog/amazon-releases-largest-dataset-for-training-pick-and-place-robots. | |
| Download Dataset: | |
| To download the dataset we used, you can use the following command in colab : | |
| !wget https://armbench-dataset.s3.amazonaws.com/segmentation/armbench-segmentation-0.1.tar.gz | |
| Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out | |