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 8 of 18.
| # | Model | Vendor | Parameters | Architecture | Benchmarks | Results |
|---|---|---|---|---|---|---|
| 351 | WordSup (VGG16-synth-coco) | Unknown | Unknown | Unknown | 1 | 3 |
| 352 | XM | Unknown (ICDAR 2021 participant) | — | — | 1 | 3 |
| 353 | Yao et al. | Unknown | Unknown | Unknown | 1 | 3 |
| 354 | YOLOv10-X | Tsinghua University | — | CNN (Real-time) | 1 | 3 |
| 355 | ABCNet | Unknown | Unknown | Unknown | 1 | 2 |
| 356 | ABINet++ | Unknown | Unknown | Unknown | 1 | 2 |
| 357 | ABINet-LV+TPS++ | Unknown | Unknown | Unknown | 2 | 2 |
| 358 | Accurate Content Copying | — | — | — | 1 | 2 |
| 359 | AON | Unknown | Unknown | Unknown | 2 | 2 |
| 360 | BEiT-L+ | — | — | — | 2 | 2 |
| 361 | Bert | Unknown | Unknown | Unknown | 2 | 2 |
| 362 | BERT classifier w/o Table | Unknown | Unknown | Unknown | 1 | 2 |
| 363 | Bert-to-Bert | — | — | — | 1 | 2 |
| 364 | Bi+ | Unknown | Unknown | Unknown | 2 | 2 |
| 365 | biCVM+ | Unknown | Unknown | Unknown | 2 | 2 |
| 366 | Biinclusion (Euro500kReuters) | Unknown | Unknown | Unknown | 2 | 2 |
| 367 | BilBOWA | Unknown | Unknown | Unknown | 2 | 2 |
| 368 | BioGPT | Unknown | Unknown | Unknown | 1 | 2 |
| 369 | BioLinkBERT (large) | Unknown | Unknown | Unknown | 1 | 2 |
| 370 | CA-FCN | Unknown | Unknown | Unknown | 2 | 2 |
| 371 | CHAR | Unknown | Unknown | Unknown | 2 | 2 |
| 372 | ChuLo | Unknown | Unknown | Unknown | 2 | 2 |
| 373 | claude-3.5-sonnet | Unknown | Unknown | Unknown | 1 | 2 |
| 374 | CLIP4STR-H (DFN-5B) | Unknown | Unknown | Unknown | 2 | 2 |
| 375 | CNKI | Unknown | Unknown | Unknown | 1 | 2 |
| 376 | CodeBERT | Microsoft | Unknown | BERT | 2 | 2 |
| 377 | CodeT5-base | Salesforce | — | T5 encoder-decoder pretrained on code | 2 | 2 |
| 378 | CodeTrans-TF-Large | Unknown | Unknown | Unknown | 2 | 2 |
| 379 | ConvNeXt V2 Huge | Meta | 650M | CNN | 2 | 2 |
| 380 | CV-Group | Unknown | Unknown | Unknown | 1 | 2 |
| 381 | Decouple Attention Network | Unknown | Unknown | Unknown | 1 | 2 |
| 382 | DeepPyramidion | Unknown | Unknown | Unknown | 2 | 2 |
| 383 | DeepSeek-OCR-2 | — | — | — | 2 | 2 |
| 384 | DEER | Unknown | Unknown | Unknown | 1 | 2 |
| 385 | DeiT-B Distilled | Meta | 86M | Vision Transformer | 2 | 2 |
| 386 | DINO (ViT-B/8) | — | — | — | 2 | 2 |
| 387 | DINO-X | IDEA Research | Unknown | Unified vision model with DINO-based detection head + large language model | 1 | 2 |
| 388 | DNTextSpotter (ResNet-50) | Academic | — | Denoising Transformer, ResNet-50 backbone | 1 | 2 |
| 389 | DNTextSpotter (ViTAEv2-S) | Academic | — | Denoising Transformer, ViTAEv2-S backbone | 1 | 2 |
| 390 | dots.mocr | — | — | — | 2 | 2 |
| 391 | DRetHTR-base | Unknown | Unknown | Decoder-only Retentive Network (RetNet) | 1 | 2 |
| 392 | DTrOCR | Unknown | Unknown | Unknown | 2 | 2 |
| 393 | EfficientNet-B7 | 66M | CNN | 2 | 2 | |
| 394 | EVA-02-L | BAAI / PKU | — | ViT-L with EVA-CLIP pre-training (O365 + ImageNet-21K) | 1 | 2 |
| 395 | Falcon-OCR | — | — | — | 2 | 2 |
| 396 | FA+RL | — | — | — | 1 | 2 |
| 397 | Faster R-CNN (VGG-16) | Microsoft | ~137M | Two-stage detector: RPN + Fast R-CNN with VGG-16 backbone | 1 | 2 |
| 398 | Field-gating Seq2seq + dual attention | Unknown | Unknown | Unknown | 1 | 2 |
| 399 | Field-gating Seq2seq + dual attention + beam search | Unknown | Unknown | Unknown | 1 | 2 |
| 400 | Florence-2-Large | Microsoft | — | — | 1 | 2 |