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（LEGO）积木渲染图。本数据集的图像专为训练乐高积木识别神经网络而制作。针对每一块积木，我们预设了其初始位置、对齐方式与颜色（模拟积木掉落至传送带的过程），并在该积木沿传送带移动的全程生成了10张图像。随后，我们移除了数据集中无积木可见的空帧。所有图像均以JPEG格式存储。
所有图像均通过Blender（https://www.blender.org/）工具生成，其3D模型基于LDraw（https://www.ldraw.org/）积木库的官方模型。后续我们使用OpenCV边缘检测算法从原始渲染图中提取出了积木单体。
乐高积木的颜色选自以下[颜色名称（十六进制色码）]列表：白色（0xffffff）、砖黄色（0xD9BB7B）、糖褐色（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）、浅糖褐色（0xF5C189）、深棕色（0x300F06）、中糖褐色（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）。
原始文件夹存储完整的渲染图，cropped_opencv目录仅包含通过OpenCV从原始渲染图中提取的积木单体图像。两种场景下，图像均被存入以乐高积木编号（取自LDraw库）命名的子文件夹中。
文件命名规范如下：brickID_colour_sequenceNumber_timestamp.jpg，其中brickID为取自LDraw库的乐高积木编号，colour为所选积木颜色的名称，sequenceNumber为0至9的整数，表示该序列图像的序号，timestamp为图像生成时刻的毫秒级UNIX时间戳。
下方展示了示例图像。