Dataset Summary ================= Category: cardboard Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: food_organics Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: glass Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: metal Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: miscellaneous_trash Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: paper Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: plastic Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: textile_trash Total images: 500 Contribution by dataset: - realwaste: 250 (50.0%) - rhwc: 250 (50.0%) Category: vegetation Total images: 436 Contribution by dataset: - realwaste: 436 (100.0%) Category: battery Total images: 277 Contribution by dataset: - customdataset: 277 (100.0%) Category: car_battery Total images: 260 Contribution by dataset: - customdataset: 260 (100.0%) Category: light_bulb Total images: 157 Contribution by dataset: - customdataset: 157 (100.0%) Category: mirror Total images: 194 Contribution by dataset: - customdataset: 194 (100.0%) Category: neon Total images: 190 Contribution by dataset: - customdataset: 190 (100.0%) Category: pharmacy Total images: 257 Contribution by dataset: - customdataset: 257 (100.0%) Category: printer_cartridge Total images: 357 Contribution by dataset: - customdataset: 357 (100.0%) Category: tire Total images: 353 Contribution by dataset: - customdataset: 353 (100.0%) Category: wood Total images: 245 Contribution by dataset: - customdataset: 245 (100.0%) ================================================== Overall Dataset Contribution: Total images: 6726 - customdataset: 2290 images (34.0%) - realwaste: 2436 images (36.2%) - rhwc: 2000 images (29.7%)