Roboflow has become a key tool for computer vision research, especially in projects focused on real-time detection. What I like is its focus on simplifying the entire cycle for training models with datasets or your own datasets, which allows you to focus on data quality and algorithm optimization instead of wasting time on technical configurations. Review collected by and hosted on G2.com.

While Roboflow is a leading tool, the least useful feature is the integrated training tool for expert users. Auto-labeling requires a lot of human supervision (human-in-the-loop), and for very small objects or low-resolution images, Roboflow's AI often fails, requiring exhaustive manual labeling. Review collected by and hosted on G2.com.

As a researcher working on instance segmentation for medical imaging, I found the platform exceptionally helpful in streamlining the entire CV pipeline. The annotation tools are intuitive and precise polygon and smart polygon features saved significant time on detailed dental structures without sacrificing accuracy. Dataset versioning, augmentations (especially relevant ones like brightness/contrast for X-ray-like images), and seamless export to formats like COCO/YOLO made experimentation much faster and reproducible. Review collected by and hosted on G2.com.

The UI is sometimes not responsive, while switching workspace. Review collected by and hosted on G2.com.

Roboflow allows data annotation, and the results can be easily exported to any of the SOTA object detection frameworks. The data augmentation features make it fantastic—there’s no need to write code or spend additional time augmenting the dataset. In addition, every edit made to the dataset creates a newer version, which helps me track progress and monitor version control for the dataset. Review collected by and hosted on G2.com.

Not really a downside. If anything, it’s the limited availability of units for model training. Of course, we all know GPUs aren’t free… ahahhah. Review collected by and hosted on G2.com.

This tool is easy to use, offers a wide variety of annotation styles, and includes an auto-annotation feature. It makes training easier, and the data augmentation feature is superb. Ease of integration with Google Colab. l also managed to get help when l wanted more raining credits. Student-oriented, can train as many times as you want, different models. Review collected by and hosted on G2.com.

If there were some datasets readily available, integrated into. Review collected by and hosted on G2.com.

A solid central hub for managing object detection datasets, with a clean, user-friendly UI for annotation. It also makes collaborative work easy, so it’s straightforward to coordinate with others on the same project. Review collected by and hosted on G2.com.

Its pricing plan. I have to get a monthly subscription for downloading model weights. Also can't have atleast one private dataset. Review collected by and hosted on G2.com.

The thing I like is the data management in roboflow, the way I can create libraries of my projects, datasets, dataset versions, and prototypes; really makes handling and shuffling through a projects a breeze.

Also the ability to immediately start training my models really helps in quick prototyping. Review collected by and hosted on G2.com.

For now, it's just the recent reduction in free model types, but it's understandable due to the recent RAM inflation Review collected by and hosted on G2.com.

Exploring the full pipeline of computer vision from collecting data and annotations to model training and deploying for production Review collected by and hosted on G2.com.

I don't think there is bad things such a great platform, the only thing is maybe usage credit for a normal plan might be limited Review collected by and hosted on G2.com.

As part of my graduation project, Camera AI System, an intelligent monitoring platform deployed across buildings, theme parks, and night markets, we needed to process massive amounts of video and image data from dozens of cameras. Our use cases required annotation of complex objects such as:

- Faces to differentiate employees, guests, VIPs, and unknown persons

- People under challenging conditions (masks, low light, backlight, crowd scenes)

- Vehicles (cars, buggies) entering restricted areas

- Special behaviors such as crowd gatherings, wrong-way movement, or intrusions Review collected by and hosted on G2.com.

There are some limitations with Research account Review collected by and hosted on G2.com.

Roboflow is a comprehensive platform that enables teams to collaborate on dataset management, data preparation, and model training in an integrated workflow. The platform is under active development, with new features and improvements released frequently. Review collected by and hosted on G2.com.

Roboflow’s API is not yet fully mature, which can limit automation and deeper integration into custom pipelines. In addition, feature support is uneven across project types: object detection workflows are significantly more developed than others, with keypoint detection in particular lacking the same level of functionality and tooling. Review collected by and hosted on G2.com.

i love how much possibility Robo flow brings. I love how simple it is to use as a first time user. Review collected by and hosted on G2.com.

sometimes sorting through images in the data set can be a bit laggy Review collected by and hosted on G2.com.