Top Pillar Datasets and Models
The datasets below can be used to train fine-tuned models for pillar detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the pillar datasets below.
132 images 15 classes
1 : See-through register in denominational numeral. 1-BG : Year of printing of the note on left 10 : Ashoka pillar emblem on the right. 11 :Circle with Rs 500 in raised print on the right. 12 :Five bleed lines on left and right in raised print. 2 : Latent image of the denomination numeral. 2-BG : Swachh Bharat logo with the slogan. 3 : Denomination numeral in Devnagari. 3-BG : Language panel towards the centre. 4 -BG: Red Fort with Indian flag. 4 : Mahatma Gandhi’s portrait in centre facing to right. 5 : Windowed security thread that changes colours from green to blue when the note is tilted. 5-BG : Denomination numeral in Devnagari on right. 6 : Guarantee clauseGovernor's signature with promise clause and RBI emblem tilted towards the right 9 : Denomination in numerals with rupee symbol in colour changing ink (green to blue) on the bottom right.
665 images 9 classes
by turtlebot
91 images 8 classes
by ClearWay
220 images 52 classes
by Curacel AI
6839 images 23 classes
Front-Windscreen-Damage Headlight-Damage Major-Rear-Bumper-Dent Rear-windscreen-Damage RunningBoard-Dent Sidemirror-Damage Signlight-Damage Taillight-Damage bonnet-dent doorouter-dent doorouter-paint-trace doorouter-scratch fender-dent front-bumper-dent front-bumper-scratch medium-Bodypanel-Dent paint-chip paint-trace pillar-dent quaterpanel-dent
98 images 9 classes
by MBlabeling
121 images 23 classes
MB201_fireHoseReel MB201_roomNum MB201_windowNum MB202_roomNum MB203_bannerNumber MB203_roomNum MB204_roomNumber MB212_cardboard MB212_roomNumber MB213_cardboard MB213_roomNumber MB213_roomNumber_blackdigit MB214_cardboard MB214_roomNumber MB215_roomNumber MB216_roomNumber MB217_roomNum MB217_roomNumber MB217_windowNum MB217_wordsOnWindow
220 images 43 classes
by stars
200 images 10 classes