Describe Anything
[ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning - NVlabs/describe-anything
[ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning - NVlabs/describe-anything
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Image generation
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Describe Anything is a practical fit for buyers evaluating Image generation, Video generation, and #Image Description tools.
- Who is it for?
- Computer vision researchers who need detailed captions for a chosen region; suits benchmarking work with the bundled DLC-Bench.
- Pricing
- pay-per-use
Product information
What this product does
[ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning - NVlabs/describe-anything
Sourced from describe-anything.github.io
Works With
Platforms
- Web
Company & Maker
Who built Describe Anything?
- Product
- [ICCV 2025] Implementation for Describe Anything: Detailed Localized Image and Video Captioning - NVlabs/describe-anything
- Live since
- Apr 2025
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 2 hours ago · How we score
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Describe Anything is an open research model from NVIDIA and university partners that writes detailed descriptions of a marked region in an image or video. Researchers and developers mark the region with points, boxes, scribbles or masks and get localized captions back.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Generate detailed descriptions of the surrounding environment for autonomous driving systems
- Provide real-time textual records of important events for video surveillance systems
- Help users quickly identify and describe objects and scenes in images
- Describes an object marked with a box or point in a photo in detailed text.
- Writes a description of a tracked object across a video from a mask on one frame.
- Generates environment descriptions from driving footage for research on autonomous systems.
Pricing reality
Vendor stated
Code under Apache 2.0; model weights, data and benchmark under NVIDIA noncommercial or CC BY-NC-SA 4.0 terms.
Actual cost
Free for research and other noncommercial use, but the weights cannot go into a commercial product under these licenses, and you supply the GPU.
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
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General buyer tips
Common across software subscriptions, not findings about this product.
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Engagement signals (30d)
Based on 6 linked public signals.
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HOW THIS TOOL SCORES
Scores compare this tool with similar tools similar tools in Image generation. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
645.5M
Avg visit duration
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Pages per visit
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Bounce rate
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Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
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FAQ
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Social mentions
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Showing top 3 of 6 linked mentions.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
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