This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stop switching between VS Code, LabelImg, and CVAT just to fix your YOLO dataset labels.
YOLO Labeling puts the entire annotation workflow natively inside your IDE:
• View and edit bounding boxes, segmentation masks, pose keypoints, and OBB
• Built-in ONNX model inference for AI auto-annotation - 100% local, no cloud upload
• Interactive dataset statistics dashboard with charts
• Tree view explorer right in the VS Code sidebar
• Full theme support for all VS Code themes
• VS Code style keyboard shortcuts
4.5K+ installs, 5.0/5 rating on VS Code Marketplace. Open source, MIT licensed.
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About YOLO Labeling on Product Hunt
“https://github.com/andaoai/yolo-label-vs”
YOLO Labeling was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #158 on the daily leaderboard. A VS Code extension for quickly browsing and editing YOLO dataset annotations through YAML configuration files. - andaoai/yolo-label-vs
YOLO Labeling was featured in GitHub (41.3k followers) on Product Hunt. Together, these topics include over 24.3k products, making this a competitive space to launch in.
Who hunted YOLO Labeling?
YOLO Labeling was hunted by 安导. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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