LDRAW based renders of LEGO bricks moving on a conveyor belt with extracted models

The set contains renders of LEGO bricks moving on a white conveyor belt. The images were prepared for training neural network for recognition of LEGO bricks. For each brick starting position, alignment and color was selected (simulating the brick falling down on the conveyour belt) and than 10 images was created while the brick was moved across the conveyor belt. Afterwards empty frames, with no brick visible, were removed from the set. The images were saved in JPEG format. All images were generated using Blender (https://www.blender.org/) tool and were based on the 3D models from LDraw (https://www.ldraw.org/) brick library. The bricks were than extracted from the original images using OpenCV edge detection algorithms.
The colors for the LEGO bricks were selected from the following list [color (code)]: White (0xffffff), Brick Yellow (0xD9BB7B), Nougat (0xD67240), Bright Red (0xff0000), Bright Blue (0x0000ff), Bright Yellow (0xFfff00), Black (0x000000), Dark Green (0x009900), Bright Green (0x00cc00), Dark Orange (0xA83D15), Medium Blue (0x478CC6), Bright Orange (0xff6600), Bright Bluish Green (0x059D9E), Bright Yellowish-Green (0x95B90B), Bright Reddish Violet (0x990066), Sand Blue (0x5E748C), Sand Yellow (0x8D7452), Earth Blue (0x002541), Earth Green (0x003300), Sand Green (0x5F8265), Dark Red (0x80081B), Flame Yellowish Orange (0xF49B00), Reddish Brown (0x5B1C0C), Medium Stone Grey (0x9C9291), Dark Stone Grey (0x4C5156), Light Stone Grey (0xE4E4DA), Light Royal Blue (0x87C0EA), Bright Purple (0xDE378B), Light Purple (0xEE9DC3), Cool Yellow (0xFFFF99), Medium Lilac (0x2C1577), Light Nougat (0xF5C189), Dark Brown (0x300F06), Medium Nougat (0xAA7D55), Dark Azur (0x469bc3), Medium Azur (0x68c3e2), Aqua (0xd3f2ea), Medium Lavender (0xa06eb9), Lavender (0xcda4de), White Glow (0xf5f3d7), Spring Yellowish Green (0xe2f99a), Olive Green (0x77774E), Medium-Yellowish Green (0x96B93B).
The original folder contains the renders themselves, the cropped_opencv directory contains only bricks extracted from th erenders. In both cases the images were placed in a folder named after the LEGO brick code (as read from LDraw). The files naming convetion is as follows
brickID_colour_sequenceNumber_timestamp.jpg
where brickID is the LEGO brick id number as read from LDraw, color is the name of the selected brick color, sequenceNumber is the integer from 0 to 9 indicating the number of the image in the sequence and timestamp is UNIX time representation in milliseconds of the image creation time.
Sample images are presented below.

本数据集包含在白色传送带上移动的乐高积木渲染图。所有图像均专为训练乐高积木识别神经网络而制备。针对每一块积木，首先选定其初始位置、对齐方式与颜色（模拟积木掉落至传送带的过程），随后在该积木沿传送带移动的全程中生成10张图像。之后，移除数据集中无积木可见的空帧。所有图像均以JPEG格式存储，通过Blender（https://www.blender.org/）工具生成，并基于LDraw（https://www.ldraw.org/）积木库的3D模型制作；后续还使用OpenCV边缘检测算法从原始渲染图中提取出单独的积木图像。
乐高积木的颜色选自以下列表[颜色（十六进制编码）]：白色（0xffffff）、砖黄色（0xD9BB7B）、肉色（0xD67240）、亮红色（0xff0000）、亮蓝色（0x0000ff）、亮黄色（0xffff00）、黑色（0x000000）、深绿色（0x009900）、亮绿色（0x00cc00）、深橙色（0xA83D15）、中蓝色（0x478CC6）、亮橙色（0xff6600）、亮蓝绿色（0x059D9E）、亮黄绿色（0x95B90B）、亮红紫色（0x990066）、沙蓝色（0x5E748C）、沙黄色（0x8D7452）、土蓝色（0x002541）、土绿色（0x003300）、沙绿色（0x5F8265）、深红色（0x80081B）、焰黄橙色（0xF49B00）、红棕色（0x5B1C0C）、中石灰色（0x9C9291）、深石灰色（0x4C5156）、浅石灰色（0xE4E4DA）、浅宝蓝色（0x87C0EA）、亮紫色（0xDE378B）、浅紫色（0xEE9DC3）、冷黄色（0xFFFF99）、中淡紫色（0x2C1577）、浅肉色（0xF5C189）、深棕色（0x300F06）、中肉色（0xAA7D55）、深天蓝色（0x469bc3）、中天蓝色（0x68c3e2）、水绿色（0xd3f2ea）、中薰衣草色（0xa06eb9）、薰衣草色（0xcda4de）、夜光白（0xf5f3d7）、春黄绿色（0xe2f99a）、橄榄绿（0x77774E）、中黄绿色（0x96B93B）。
原始文件夹存储所有渲染原图，cropped_opencv目录仅包含从上述渲染图中提取的积木图像。两类图像均存储在以LDraw中读取的乐高积木代码命名的子文件夹内。文件命名规则如下：
brickID_colour_sequenceNumber_timestamp.jpg
其中brickID为从LDraw中获取的乐高积木编号，colour为所选积木的颜色名称，sequenceNumber为取值0至9的整数，表示该序列图像的序号，timestamp为图像生成时间的Unix毫秒级时间戳。
下方附有示例图像。