We are UIT-Together. Here our goal is to build a strong affiliated research group in Computer vision and Machine learning. Besides key persons who are leaders in these field, the young enthusiastic and energetic force in research are trained and supported for the development orientation of group in the long-term and strengthening international links, improving the ability of scientific publishing.
DODV-Ext dataset: a challenging Vietnamese document image including scientific papers and textbooks with 5,000 fully annotated images.
UIT-CVID21 has 10,000 images which include four classes: bus, car, truck and van. This is one of the first dataset in this present time that has captured the most diverse angles and clearly show the characteristics of Vietnamese road thanks to the flexibility of unmanned aerial equipment.
UIT-VinaFruit20 contains 63,541 images are corresponding to 20 Vietnam popular fruits, with the average images per class are about 3,700 images. UIT-VinaFruit20 is the first Vietnamese fruit dataset with four main features promising more challenges.
We collected the data from the scientific paper available on the website of Can Tho University (CTU). In addition, we used the physical scanner and the scanning app on smartphone to scan the hard-copy of National Conference "Some Selected Issues of Information Technology and Communication" of two Editions. Click the link for more details
We offically publish VinaFood21 dataset, which has 13,950 images from 21 dishes. This is a new milestone for complexVietnamese food recognition. Click the link for more details