Author: Dillon Pinto (Director of Growth at Voxel51)
This week's newsletter spotlights Voxel51's latest blogs, key resources, upcoming talks, and a list of upcoming events.
FiftyOne 0.25 is here!
Now with Python Panels, Custom Dashboards, SAM 2, and Elasticsearch Integration, this new release is packed with game-changing features that take your visual AI development to the next level.
Here's a sneak peek at what's new:
- 🐍 Python Panels: Build custom App panels with a simple Python interface. Includes built-in components for information display, tutorials, interactive graphs, triggering operations, and more.
- 🖥️ Custom Dashboards: Create no-code dashboards to visualize dataset statistics and model performance.
- ⌓ SAM 2 Integration: Leverage Segment Anything 2 directly within FiftyOne for automatic object segmentation in images and videos.
- 🔎 Elasticsearch Integration: Connect to your Elasticsearch cluster for scalable text and image searches across your datasets.
- 🌁 Image Representativeness Analysis: Easily identify the most common and uncommon image types in your datasets.
PLUS some awesome contributions from the community 🧡:
- Rustem Galiullin contributed adding track IDs if present for Ultralytics models
- dimidagd contributed the ability to add ragged batches to be configured for custom Torch models
📙 Good Reads
SAM2 now available in the FiftyOne Model Zoo
Segment Anything 2 (SAM 2) which was released on July 29th, 2024 represents a major leap forward in segmentation technology, offering cutting-edge performance in both images and videos. Building on the foundation of the original Segment Anything, which Meta released in April 2023, SAM 2 not only enhances image segmentation but also introduces advanced video capabilities. With SAM 2, users can achieve precise segmentation and tracking in video sequences using simple prompts—like bounding boxes or points—from a single frame. This enhanced functionality opens up exciting new possibilities for a wide array of video applications.
Check the blog post by Prerna Dhareshwar to see how to load and apply SAM 2 models on both images as well as videos in FiftyOne.
🔎 Upcoming hackathons
This is your chance to dive deep into cutting-edge technology, collaborate with like-minded individuals, and push the boundaries of what's possible 🚀
FiftyOne is hosting an incredible hackathon at the University of South Carolina, Northwestern University, and NYU! 🎉
At the hackathon, ML enthusiasts and college students alike will come together to tackle real-world challenges in the field. Participants can expect an immersive experience filled with learning, networking, and the opportunity to showcase their skills.
What you can expect:
- 🚀 Tech Talks: Deep dive tech talks on Computer Vision and Data-Centric AI.
- 🔧 Hands-on Workshops: Learn how to build AI applications through code examples
- 🏅 Engaging Challenges: Tackle real-world problems with AI solutions.
- 🤝 Networking Opportunities: Connect with fellow developers, builders, and industry experts.
- 🎁 Exciting Prizes: Demo your projects and compete for cash prizes.
Registrations is mandatory. Sign up today to secure your spot!
Have You Explored the Data-Centric AI Competition on Hugging Face Yet?
Check out Harpreet Sahota 🥑’s post on Why this competition Matters!
🧗 The Challenge
Your mission, should you choose to accept it, is to curate a subset of our provided dataset that achieves two seemingly contradictory goals:
Reduce the overall size of the dataset
Maintain or improve the performance of a YOLOv8m object detection model
🧰 Dataset and Resources
- A dataset of 65,986 images
- 43 object classes across categories like clothing, people, transportation, and more
- FiftyOne, an open-source tool for dataset curation and analysis.
- YOLOv8m model from the Ultralytics Model Zoo
🏆 Prizes
- First Place: $1,000
- Second Place: Top Tier Swag Package
- Third Place: Mid-Tier Community Swag Package
🎙️ Good Listens
🗓️. Upcoming Events
Check out these upcoming AI, machine learning and computer vision events! View the full calendar and register for an event.
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