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| title: Wise Vision App | |
| emoji: 🌍 | |
| colorFrom: red | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.35.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| This project is result of submission to the ETH AI Center GainForest Hackathon for XPrize. | |
| The project repository contains Deepforest and DETECT-TREE2 models, which are image segmentation models. | |
| Initially, the App asks user to upload an .jpb Panoramic image, it is automatically segmented and the output is a excel file with co-ordinates. | |
| The segmented trees from the panoramic images are compared with identified species and results are generated on this. | |
| The identification/classification is done using a VGG-16 model which is pretrained on 1 million images. | |
| Testing of this model is done by a Dataset created for this project: https://segments.ai/r/drone-panoramic/. | |
| This dataset has species annotated in the panoramic images. The results of the classification from the VGG or any other model can be tested with this dataset. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |