Datasets

MoRe: A Large-Scale Motorcycle Re-Identification Dataset

Sorry, this entry is only available in Brazilian Portuguese. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Motorcycle Re-Identification (MoRe) dataset, is the first large-scale motorcycle ReID database captured by urban traffic cameras. Precisely, MoRe contains 3,827 distinct […]

The SWAX Benchmark

The SWAX Benchmark The Sense Wax Attack (SWAX) Database comprises images of real persons and their correponding realistic wax-made sculptures. The proposed benchmark seemed to be the only database containing both real and wax-modeled persons up to the publication date of the scientific paper. SWAX was designed to investigate the problem in which a face [...]

Sense-ALPR Database

This dataset, called Sense-ALPR Database, was created to help researchers evaluating automatic license plate recognition problems. The data for the paper Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks were captured during the day using two cameras: one placed static while recording vehicles that were passing by and another placed within a vehicle that moved accross the city.

Importance Annotation for VIP and UIUC Pascal Sentence Datasets

The experimental results for the paper Assigning Relative Importance to Scene Elements in SIBGRAPI’2017 were obtained using two datasets: VIP dataset and UIUC Pascal Sentence. Both datasets are associated to importance assignment researches and present a wide range of images containing multiple objects per image.

Sense License Plate Character Segmentation Database

This dataset, called Sense SegPlate Database, aims at evaluating the License Plate Character Segmentation (LPCS) problem. The experimental results for the paper Benchmark for License Plate Character Segmentation were obtained using a dataset providing 101 on-track vehicles captured during the day. The video was recorded using a static camera in the early 2015.

ETHZ Dataset for Appearance-Based Modeling

The experimental results for the paper Learning Discriminative Appearance-Based Models Using Partial Least Squares in SIBGRAPI’2009 were obtained using the ETHZ dataset, which provides a large number of different people captured in uncontrolled conditions. The video sequences are captured from moving cameras, which provides a range of variations in people’s appearances.

Datasets

MoRe: A Large-Scale Motorcycle Re-Identification Dataset

Sorry, this entry is only available in Brazilian Portuguese. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Motorcycle Re-Identification (MoRe) dataset, is the first large-scale motorcycle ReID database captured by urban traffic cameras. Precisely, MoRe contains 3,827 distinct […]

The SWAX Benchmark

The SWAX Benchmark The Sense Wax Attack (SWAX) Database comprises images of real persons and their correponding realistic wax-made sculptures. The proposed benchmark seemed to be the only database containing both real and wax-modeled persons up to the publication date of the scientific paper. SWAX was designed to investigate the problem in which a face [...]

Sense-ALPR Database

This dataset, called Sense-ALPR Database, was created to help researchers evaluating automatic license plate recognition problems. The data for the paper Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks were captured during the day using two cameras: one placed static while recording vehicles that were passing by and another placed within a vehicle that moved accross the city.

Importance Annotation for VIP and UIUC Pascal Sentence Datasets

The experimental results for the paper Assigning Relative Importance to Scene Elements in SIBGRAPI’2017 were obtained using two datasets: VIP dataset and UIUC Pascal Sentence. Both datasets are associated to importance assignment researches and present a wide range of images containing multiple objects per image.

Sense License Plate Character Segmentation Database

This dataset, called Sense SegPlate Database, aims at evaluating the License Plate Character Segmentation (LPCS) problem. The experimental results for the paper Benchmark for License Plate Character Segmentation were obtained using a dataset providing 101 on-track vehicles captured during the day. The video was recorded using a static camera in the early 2015.

ETHZ Dataset for Appearance-Based Modeling

The experimental results for the paper Learning Discriminative Appearance-Based Models Using Partial Least Squares in SIBGRAPI’2009 were obtained using the ETHZ dataset, which provides a large number of different people captured in uncontrolled conditions. The video sequences are captured from moving cameras, which provides a range of variations in people’s appearances.