Dataset Versions
Versions
BLDD Dataset V11
v11
· 2 years ago
BLDD Dataset V10
v10
· 2 years ago
BLDD Dataset V9
v9
· 2 years ago
BLDD Dataset V7
v7
· 2 years ago
BLDD Dataset V6
v6
· 2 years ago
BLDD Dataset V5
v5
· 2 years ago
BLDD Dataset V4
v4
· 2 years ago
BLDD Dataset V3
v3
· 2 years ago
BLDD Dataset V2
v2
· 2 years ago
BLDD Dataset V1
v1
· 2 years ago
v10
BLDD Dataset V10
Generated on Jun 5, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
730 Total Images
View All Images
Dataset Split
Train Set 88%
639Images
Valid Set 8%
61Images
Test Set 4%
30Images
Preprocessing
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Exposure: Between -2% and +2%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Noise: Up to 2% of pixels