CVPR Best Student Paper, One-click Launch of "BioCLIP Biological Classification Hierarchical Prediction Demo", Helping You Quickly Identify Biological Species
Many organisms are difficult to distinguish with the naked eye due to their high degree of similarity in appearance. Ohio State University, Microsoft Research, University of California, Irvine, and Rensselaer Polytechnic Institute jointly released "BioCLlP: A Vision Foundation Model for the Tree of Life". Based on large-scale labeled datasets such as TREEOFLIFE-10M, after rigorous testing, BioCLlP has shown significant performance advantages in multiple fine-grained biological classification tasks.The project paper was named the best student paper in CVPR 2024.
The HyperAI official website has now launched the "BioCLIP Biological Classification Hierarchical Prediction Demo" tutorial.Just upload a picture to quickly identify the types of animals and plants.
Tutorial address:
Demo Run
1. Log in to hyper.ai, go to the Tutorials page, select BioCLIP Classification Hierarchical Prediction Demo, and click Run this tutorial online.
2. After the page jumps, click "Clone" in the upper right corner to clone the tutorial into your own container.
3. Click "Next: Select Hashrate" in the lower right corner.
4. After the page jumps, select "NVIDIA GeForce RTX 4090" and click "Next: Review".New users can register using the invitation link below to get 4 hours RTX 4090 + 5 hours of free CPU!
HyperAI exclusive invitation link (copy and open in browser):
https://openbayes.com/console/signup?r=6bJ0ljLFsFh_Vvej
5. Click "Continue" and wait for resources to be allocated. The first clone will take about 2 minutes. When the status changes to "Running", click the jump arrow next to "API Address" to jump to the BioCLIP biological classification hierarchical prediction Demo page.Please note that users must complete real-name authentication before using the API address access function.
If the issue persists for more than 10 minutes and remains in the "Allocating resources" state, try stopping and restarting the container. If restarting still does not resolve the issue, please contact the platform customer service on the official website.
Effect Demonstration
1. Open the BioCLIP biological classification hierarchical prediction demo page, upload an animal photo, click Submit, and wait a moment to output the results. You can see that it successfully identifies the animal in the picture as a cat.
2. Upload another picture and click "Submit". You can see that the output result is a tiger.
Finally, I recommend an online academic sharing activity. Interested friends can scan the QR code to participate!
