mlsanityData to 7 Oct 2026

Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

arXiv 2211.13523 ↗First posted 24 Nov 2022cs.CVcited by 26

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Abstract (arXiv)

The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these datasets consist largely of images found on the web and do not represent many real-life domains that are being modelled in practice, e.g. satellite, microscopic and gaming, making it difficult to assert the degree of generalization learned by the model. We introduce the Roboflow-100 (RF100) consisting of 100 datasets, 7 imagery domains, 224,714 images, and 805 class labels with over 11,170 labelling hours. We derived RF100 from over 90,000 public datasets, 60 million public images that are actively being assembled and labelled by computer vision practitioners in the open on the web application Roboflow Universe. By releasing RF100, we aim to provide a semantically diverse, multi-domain benchmark of datasets to help researchers test their model's generalizability with real-life data. RF100 download and benchmark replication are available on GitHub.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Builds on 5 of its 10 references that are in the map. First posted on arXiv 24 Nov 2022.

Builds on

5 of 10 references.

References · 5

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2021Grounded Language-Image Pre-trainingcited by 1,147
  4. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 978
  5. 2021Florence: A New Foundation Model for Computer Visioncited by 802

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 5; 2025: 8; 2026: 6.

26 papers.

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  1. 2024T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergycited by 94
  2. 2023Aligning and Prompting Everything All at Once for Universal Visual Perceptioncited by 59
  3. 2024LW-DETR: A Transformer Replacement to YOLO for Real-Time Detectioncited by 36
  4. 2024AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Modelscited by 29
  5. 2023VISION Datasets: A Benchmark for Vision-based InduStrial InspectiONcited by 25
  6. 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
  7. 2025Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Modelscited by 20
  8. 2023Cascade-DETR: Delving into High-Quality Universal Object Detectioncited by 19
  9. 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Modelscited by 17
  10. 2023Open World Object Detection in the Era of Foundation Modelscited by 9
  11. 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulatorcited by 4
  12. 2024YOLOv11 Optimization for Efficient Resource Utilizationcited by 4
14 more
  1. 2025A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Modelscited by 4
  2. 2025TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Modelscited by 2
  3. 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuningcited by 2
  4. 2026DETR-ViP: Detection Transformer with Robust Discriminative Visual Promptscited by 2
  5. 2025Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patternscited by 1
  6. 2023Improving the performance of object detection by preserving label distributioncited by 0
  7. 2025SMDDFNet: State-space Modeling and Dynamic Dual Fusion Network for Traffic Sign Detectioncited by 0
  8. 2025Deep learning framework for crater detection and identification on the Moon and Marscited by 0
  9. 2025FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRAcited by 0
  10. 2026Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compressioncited by 0
  11. 2026DRAFE: Domain-Robust Asymmetric Fusion of Heterogeneous Detection Transformers for Cross-City Fine-Grained Traffic Object Detectioncited by 0
  12. 2026CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detectioncited by 0
  13. 2026Pro-Bench: Prompt-Robust Open-Vocabulary Visual Grounding Across Real-World Heterogeneous Environmentscited by 0
  14. 2026PCB-MC: Missing Component Analysis in Printed Circuit Boardscited by 0