Dataset Versions
Versions
2022-05-28 6:06pm
v18
· 3 years ago
2022-05-28 5:49pm
v16
· 3 years ago
2022-05-27 8:54am
v15
· 3 years ago
2022-05-26 11:03pm
v13
· 3 years ago
2022-05-26 9:28pm
v12
· 3 years ago
2022-05-26 10:51am
v11
· 3 years ago
2022-05-25 2:57pm
v9
· 3 years ago
2022-05-22 10:50am noise and blur version 2
v7
· 3 years ago
2022-05-22 10:42am noise and blur
v6
· 3 years ago
2022-05-20 10:54am Version 3
v4
· 3 years ago
2022-05-20 10:18am Version 2
v2
· 3 years ago
2022-05-20 8:35am Version 1
v1
· 3 years ago
v6
2022-05-22 10:42am noise and blur
Generated on May 22, 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.
3360 Total Images
View All Images
Dataset Split
Train Set 89%
3000Images
Valid Set 7%
220Images
Test Set 4%
140Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Blur: Up to 2px
Noise: Up to 10% of pixels