A device, comprising: one or more processors to: receive a plurality of images for an object recognition operation, wherein the plurality of images is arranged in a grid, with areas of overlap between adjacent images in the grid; the object recognition operation identifying one or more objects in the plurality of images after the plurality of images are combined into a stitched image; combine the plurality of images into the stitched image; determine an overlapped area of a first image and a second image of the plurality of images; determine a mean luminosity of the overlapped area; normalize a luminosity of the overlapped area of the first image and the second image based on the mean luminosity; convert the first image and the second image to an HSV color space; obtain a composite image based on hue, saturation and/or value parameters of the first image and the second image; the composite image being generated based on differences at corresponding points in the first image and the second image, the differences including differences, between the corresponding points in the first image and the second image, in at least one of a hue parameter, a saturation parameter, or a value parameter; determine a reliability score for the first image and the second image based on at least one of a mean of hue parameters of a plurality of points in the composite image, a mean of saturation parameters of a plurality of points in the composite image, or a mean of value parameters of a plurality of points in the composite image; the reliability score predicting a quality of the stitched image that includes the first image and the second image, of the plurality of images; determine whether a result of the object recognition operation is likely to satisfy a threshold based on a predictive model, the predictive model outputting a likelihood of the result of the object recognition operation satisfying the threshold based on the reliability score; and selectively perform the object recognition operation based on whether the result of the object recognition operation is likely to satisfy the threshold. receive a plurality of images for an object recognition operation, wherein the plurality of images is arranged in a grid, with areas of overlap between adjacent images in the grid; the object recognition operation identifying one or more objects in the plurality of images after the plurality of images are combined into a stitched image; wherein the plurality of images is arranged in a grid, with areas of overlap between adjacent images in the grid; the object recognition operation identifying one or more objects in the plurality of images after the plurality of images are combined into a stitched image; combine the plurality of images into the stitched image; determine an overlapped area of a first image and a second image of the plurality of images; determine a mean luminosity of the overlapped area; normalize a luminosity of the overlapped area of the first image and the second image based on the mean luminosity; convert the first image and the second image to an HSV color space; obtain a composite image based on hue, saturation and/or value parameters of the first image and the second image; the composite image being generated based on differences at corresponding points in the first image and the second image, the differences including differences, between the corresponding points in the first image and the second image, in at least one of a hue parameter, a saturation parameter, or a value parameter; the composite image being generated based on differences at corresponding points in the first image and the second image, the differences including differences, between the corresponding points in the first image and the second image, in at least one of a hue parameter, a saturation parameter, or a value parameter; determine a reliability score for the first image and the second image based on at least one of a mean of hue parameters of a plurality of points in the composite image, a mean of saturation parameters of a plurality of points in the composite image, or a mean of value parameters of a plurality of points in the composite image; the reliability score predicting a quality of the stitched image that includes the first image and the second image, of the plurality of images; determine whether a result of the object recognition operation is likely to satisfy a threshold based on a predictive model, the predictive model outputting a likelihood of the result of the object recognition operation satisfying the threshold based on the reliability score; and selectively perform the object recognition operation based on whether the result of the object recognition operation is likely to satisfy the threshold.