Dataset Versions
Versions
2023-11-19 11:07pm
v11
· a year ago
2023-11-17 10:06pm
v10
· a year ago
2023-11-17 10:04pm
v9
· a year ago
2023-11-16 11:58pm
v8
· a year ago
2023-11-16 10:17pm
v7
· a year ago
2023-11-15 9:05pm
v6
· a year ago
2023-11-14 9:05pm
v5
· a year ago
2023-11-13 9:58pm
v4
· a year ago
2023-11-13 9:57pm
v3
· a year ago
2023-11-13 9:22pm
v2
· a year ago
2023-11-12 10:40pm
v1
· a year ago
v11
2023-11-19 11:07pm
Generated on Nov 19, 2023
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.
7612 Total Images
View All Images
Dataset Split
Train Set 87%
6642Images
Valid Set 9%
672Images
Test Set 4%
298Images
Preprocessing
Isolate Objects: Applied
Grayscale: Applied
Filter Null: Require at least 51% of images to contain annotations.
Augmentations
Outputs per training example: 3
Blur: Up to 6.75px