Particulate Organic Carbon (POC) fluxes are poorly constrained globally. Optical methods pose an efficient non-invasive alternative to catching physical particles in order to estimate POC flux. Here, we present Particulate Organic Carbon (POC) flux estimates of both marine snow and cylindrical fecal pellets (unit: mg/m²/day) derived from both Video Plankton Recorder (VPR) and Marine Snow Catchers (MSCs), from 15 and 11 stations respectively. Data was recorded between 1-30. June, 2021, aboard the research vessel G.O Sars, in the Northeast Atlantic Ocean (Norwegian Sea and Iceland Basin). VPR derived images were classified with aid from a self-trained deep learning (ResNet) model, and particle sizes (Equivalent Circular Diameter, µm) were estimated using Otsu's binarization, excluding particle holes as area. Using size, both POC content and sinking speeds were estimated, allowing us to calculate POC flux. The VPR was generally deployed from ~ 0-1000m depth, and the data is presented in 5m depth intervals. MSCs were deployed at most of the same stations as the VPR (11/15), generally at 3 depths targeting key water column characteristics: 1. within the mixed layer, 2. above the deep scattering layer, 3. below the deep scattering layer. Fast sinking particles were collected with pipettes from the MSCs base-tray, and imaged through a FlowCam Macro (without pump). Sinking speeds were recorded, as well as particle sizes, in order to estimate the carbon flux at each sampled depth. Thus, this dataset can be used to compare MSC and VPR fluxes from similar stations, contributing to increasing the knowledge of passive flux in the area, as well as providing higher spatial and temporal data coverage than previously.