Related Objects of Interest: paper, cardboard, can, garbage, mask, wood, aluminium_foil, background, cig_bud, cig_pack
by osmando
706 images 1342 classes
animal car drink mushroom rock wine glass 2 bottles on a rock next to fruit in front of orange background. 2 brown paper boxes in front of light brown background 2 cream bottles in front of blue tiles 2 macarons on a rock block in front of light orange background 3 black bottles next to yellow stairs and dry flower with shadow 3 blue bottles on blue plates next to dry nuts 3 bottles in front of light background with shadows 3 bottles in front of light brown background with shadows. 3 bottles in front of light gray background with shadows of a plant. 3 boxes in front of dark background 3 perfume bottles on reflective gray surface 4 paper boxes in front of light yellow background 4 potteries on a marble table 6 white bowls of spices on a wooden surface
460 images 39 classes
1140 images 40 classes
9534 images 164 classes
by RowexX
8260 images 9 classes
by osmando
221 images 454 classes
abstract brown blobs with fabric texture abstract brown blobs with fabric texture [in] abstract geometric shapes in gray background abstract geometric shapes in gray background [out] abstract green object with rock and wood sticks in yellow background abstract green object with rock and wood sticks in yellow background [in] abstract iridescent glass in black background abstract iridescent glass in black background [in] abstract orange sofa with light in dark pink background abstract red wavy gradient fabric abstract red wavy gradient fabric [in] abstract translucent geometric shapes in gray background abstract translucent geometric shapes in gray background [in] abstract wavy gradient glass abstract wavy gradient glass [in] black credit card on blue rocks in pale blue background black credit card on blue rocks in pale blue background [out] blue and orange translucent blocks on table blue and orange translucent blocks on table [in] blue and pink fabric blobs
by osmando
155 images 198 classes
drink 2 bottles on a rock next to fruit in front of orange background- 2 brown paper boxes in front of light brown background 2 cream bottles in front of blue tiles 2 macarons on a rock block in front of light orange background 3 black bottles next to yellow stairs and dry flower with shadow 3 blue bottles on blue plates next to dry nuts 3 bottles in front of light background with shadows 3 bottles in front of light brown background with shadows- 3 bottles in front of light gray background with shadows of a plant- 3 boxes in front of dark background 3 perfume bottles on reflective gray surface 4 paper boxes in front of light yellow background 4 potteries on a marble table CPG a white circle against a beige background behind a perfume bottle on a rock- bag on a table in front of concrete wall beige perfume bottle sitting on a rock in front of a white circle with a beige background- bird-s-eye view of a glass perfume bottle surrounded by red flower petals in front of a cream and beige colored background- bird-s-eye view of a golden skincare bottle surrounded by green leaves and blueberries in front of a yellow background
by Mashiro
2269 images 8 classes
by 31 project
1499 images 66 classes
by innovation
5276 images 20 classes
2362 images 18 classes
Glass-bottle Glass-other Metal-drinking cans Plastic-Other Plastic-bag Plastic-drinks Plastic-food container Plastic-food packet Plastic-hard Plastic-nonfood Packet Plastic-nonfood container Plastic-other bottles containers and drums Plastic-rope string Plastic-tableware Rubber-Other Rubber-footwear SanitaryMedicalWaste-Other Trash-Generic
710 images 39 classes
by Fun stuff
4793 images 93 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 22 23 24 25 26 27 28 29 30