Codesota · Models2,268 models indexed · 896 match filter
Editorial · Models
Models with recorded evidence.
Start with a research area, drill into a vendor, or page through the full index. Vendor aliases and legacy area IDs are grouped here; original model IDs and model links stay unchanged. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.
Vendor:Areas overviewSpeakLeash · 263Alibaba · 104Google · 102OpenAI · 86Meta · 68Microsoft · 49Anthropic · 44DeepSeek · 34Mistral · 30mistralai · 19CYFRAGOVPL · 14NVIDIA · 14Zhipu AI · 13internlm · 10xAI · 10ByteDance · 9Baidu · 8ibm-granite · 8PLLuM · 8allenai · 7Amazon · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7utter-project · 7CohereForAI · 6Salesforce · 601-ai · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5gguf-iq · 4IBM · 4Meituan · 4openchat · 4Stanford · 4THUDM · 4tiiuae · 4UC San Diego · 4VikParuchuri · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OpenDataLab · 3OPI-PG · 3upstage · 3ViCoS Lab Ljubljana · 3Xiaomi · 3Zhao et al. · 3+ 243 smaller vendors (288 models)
§ 01 · Computer Vision models
896 models in Computer Vision · page 16 of 18.
| # | Model | Vendor | Parameters | Architecture | Benchmarks | Results |
|---|---|---|---|---|---|---|
| 751 | RT-DETR (ResNet-50) | — | — | — | 1 | 1 |
| 752 | RT-DETRv2-L | — | — | — | 1 | 1 |
| 753 | RT-DETRv2-M | — | — | — | 1 | 1 |
| 754 | RT-DETRv2-S | — | — | — | 1 | 1 |
| 755 | RT-DETRv2-X | Baidu | Unknown | Real-Time Detection Transformer | 1 | 1 |
| 756 | RT-DETRv2-X | Baidu (lyuwenyu) | Unknown | Real-Time Detection Transformer v2 (ResNet-101 backbone) | 1 | 1 |
| 757 | RTSR | Unknown | Unknown | Unknown | 1 | 1 |
| 758 | Random Baseline (HowSumm) | Unknown | — | baseline | 1 | 1 |
| 759 | Random Baseline (HowSumm-Method) | Unknown | — | — | 1 | 1 |
| 760 | RePanda | Unknown | — | — | 1 | 1 |
| 761 | Reducto | Reducto | Unknown | Specialised enterprise document parser | 1 | 1 |
| 762 | ResNet-101 (ensemble of 3 models) | — | — | — | 1 | 1 |
| 763 | ResNet-110 | — | — | — | 1 | 1 |
| 764 | ResNet-50 (A3 training) | Timm | 25M | CNN | 1 | 1 |
| 765 | ResNet-RS (ResNet-200 + RS training tricks) | Unknown | Unknown | Unknown | 1 | 1 |
| 766 | RoDLA | Chen, Zhang et al. | Unknown | DINO-based detector with InternImage backbone + channel attention blocks | 1 | 1 |
| 767 | Roberta base | Unknown | Unknown | Unknown | 1 | 1 |
| 768 | SA-Text | Unknown | Unknown | Unknown | 1 | 1 |
| 769 | SCDV-MS | Unknown | Unknown | Unknown | 1 | 1 |
| 770 | SC_RB | Unknown | Unknown | Unknown | 1 | 1 |
| 771 | SEE | Unknown | Unknown | Unknown | 1 | 1 |
| 772 | SEM | Unknown | Unknown | Unknown | 1 | 1 |
| 773 | SENet | Momenta | — | — | 1 | 1 |
| 774 | SLDD-Model | Unknown | Unknown | Unknown | 1 | 1 |
| 775 | SPRINT | IIT Bombay LEAP-OCR | Unknown | OTSL (Optimized Table Structure Language) sequence prediction; script-agnostic design | 1 | 1 |
| 776 | SRFormer | AAAI 2024 | — | — | 1 | 1 |
| 777 | STN-OCR | Unknown | Unknown | Unknown | 1 | 1 |
| 778 | STREET | Unknown | Unknown | Unknown | 1 | 1 |
| 779 | STaR-8B | Unknown | — | — | 1 | 1 |
| 780 | SVTR-B (Base) | Unknown | Unknown | Unknown | 1 | 1 |
| 781 | SVTR-L (Large) | Unknown | Unknown | Unknown | 1 | 1 |
| 782 | SVTR-S (Small) | Unknown | Unknown | Unknown | 1 | 1 |
| 783 | SVTR-T (Tiny) | Unknown | Unknown | Unknown | 1 | 1 |
| 784 | SVTRv2-B | Du et al. | Unknown | SVTR Base + Multi-Size Resizing + Feature Rearrangement + Semantic Guidance (CTC) | 1 | 1 |
| 785 | SVTRv2-S | Du et al. | Unknown | SVTR Small + Multi-Size Resizing + Feature Rearrangement + Semantic Guidance (CTC) | 1 | 1 |
| 786 | SVTRv2-T | Du et al. | Unknown | SVTR Tiny + Multi-Size Resizing + Feature Rearrangement + Semantic Guidance (CTC) | 1 | 1 |
| 787 | SciFive-large | Unknown | Unknown | Unknown | 1 | 1 |
| 788 | ScyllaNet | Scylla Technologies | — | — | 1 | 1 |
| 789 | Seed1.6-vision | ByteDance | — | Vision-Language Model | 1 | 1 |
| 790 | SegFormer (MiT-B0) | — | — | — | 1 | 1 |
| 791 | SenseTime Basemodel | SenseTime | — | — | 1 | 1 |
| 792 | Siamese Small-E-Czech (Electra-small) | Unknown | Unknown | Unknown | 1 | 1 |
| 793 | Siamese_MHCA_SA | Unknown | Unknown | Unknown | 1 | 1 |
| 794 | Siamese_MultiHeadCrossAttention_SoftAttention (Siamese_MHCA_SA) | Unknown | Unknown | Unknown | 1 | 1 |
| 795 | SigNet-F (SVM) | Unknown | Unknown | Unknown | 1 | 1 |
| 796 | SoViT-400M/14 | 400M | Compute-optimal ViT shape | 1 | 1 | |
| 797 | SoViT-400m/14 | 400M | Vision Transformer (Shape-Optimized) | 1 | 1 | |
| 798 | StarCoder-LoRA | BigCode / Salesforce | 15.5B | Transformer decoder | 1 | 1 |
| 799 | StrucTexTv2 (large) | Unknown | Unknown | Unknown | 1 | 1 |
| 800 | Surya | VikParuchuri | — | — | 1 | 1 |