ResNet-101
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A to Z
- A · App
- No
- B · Built By
- Microsoft
- C · CEO & Politics
- Satya Nadella — Centrist / moderate
- D · Date
- 2015
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA
- K · Key Staffers
- Mustafa Suleyman (CEO Microsoft AI), Kevin Scott (CTO)
- L · Languages
- English-primary
- M · Model Type
- Vision/CV
- N · Safety Issues
- Computer-vision risks: dataset bias, domain shift, privacy concerns in images, and unreliable performance outside benchmark-like settings.
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, MIT)
- Q · AIDb Rating
- 5/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 10/10 · Significance 4/10 → 4.90
- R · What Makes It Special
- Microsoft Research's ResNet-101, a 101-layer residual network from the paper that introduced residual learning, in which layers learn residual functions relative to their inputs so much deeper networks train well; residual nets won first place in ILSVRC 2015 classification (3.57% ImageNet test error for an ensemble) and in ImageNet detection and localization and COCO detection and segmentation.
- S · Stock / Status
- $516 (MSFT, Sep 25, 2026)
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @Microsoft
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Vision/CV from Microsoft, released 2015.
Data completeness 88% · Last verified 2026-06-11 · Primary source ↗
Cite this
“ResNet-101.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/resnet-101-microsoft.html
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