Object detection datasets require images and annotations.
Select your folder(s) of images and annotations.
The best way to do this is to click-and-drag the whole folder of images and annotations directly into Roboflow. Roboflow supports many annotation formats and dragging and dropping should just work. If your annotation format is not included in the list below: contact email@example.com and we will help add your annotation format into the list of supported formats.
You will know that your upload is successful when you see the progress bar move all the way to the right and you see you images enclosed in bounding boxes.
Roboflow supports a wide array of annotation formats.
Supported annotation formats:
PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning) is a Network of Excellence funded by the European Union. From 2005 - 2012, PASCAL ran the Visual Object Challenge (VOC). PASCAL annually released object detection datasets and reported benchmarks. (An aggregated PASCAL VOC dataset is available here.)
The Common Objects in Context (COCO) dataset originated in a 2014 paper Microsoft published. The dataset "contains photos of 91 objects types that would be easily recognizable by a 4 year old." There are a total of 2.5 million labeled instances across 328,000 images. Given the sheer quantity and quality of data open sourced, COCO has become a standard dataset for testing and proving state of the art performance in new models. (The dataset is available here.)
See an example in our post on how to convert annotations to COCO JSON.
TensorFlow object detection CSVs contain one bounding box per line in the CSV.
Microsoft's Visual Object Tagging Tool CSVs.
Files that contain a .txt file for each image and a label_map.txt (or labels.txt) mapping the numeric classID to a class name.
If you don't see support for your annotations, write us in our support chat or firstname.lastname@example.org.
Roboflow supports uploading images in several formats. The most common are JPG, PNG, and BMP.
For TIFF support, upgrade to our Pro plan.
If you don't see support for your image format, write us in our support chat or email@example.com.