Dataset Versions
Versions
2022-07-22 2:29pm
v26
· 2 years ago
2022-07-22 12:37pm
v25
· 2 years ago
2022-07-22 11:09am
v24
· 2 years ago
2022-07-20 12:35pm
v23
· 2 years ago
2022-07-19 5:07pm
v22
· 2 years ago
2022-07-19 3:49pm
v21
· 2 years ago
2022-07-19 11:58am
v20
· 2 years ago
2022-07-19 10:52am
v19
· 2 years ago
2022-07-19 10:45am
v18
· 2 years ago
2022-07-15 5:54pm
v17
· 2 years ago
2022-07-15 5:52pm
v16
· 2 years ago
2022-07-15 5:50pm
v15
· 2 years ago
2022-07-15 5:49pm
v14
· 2 years ago
2022-07-15 3:18pm
v13
· 2 years ago
2022-07-15 3:17pm
v12
· 2 years ago
2022-07-15 3:10pm
v11
· 2 years ago
2022-07-15 3:09pm
v10
· 2 years ago
2022-07-15 3:09pm
v9
· 2 years ago
2022-07-12 3:57pm
v8
· 2 years ago
2022-07-12 3:48pm
v7
· 2 years ago
2022-07-12 3:44pm
v6
· 2 years ago
2022-07-12 3:30pm
v5
· 2 years ago
2022-07-12 3:29pm
v4
· 2 years ago
2022-07-12 1:41pm
v3
· 2 years ago
2022-07-12 12:27pm
v2
· 2 years ago
2022-07-12 12:25pm
v1
· 2 years ago
v16
2022-07-15 5:52pm
Generated on Jul 15, 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.
82 Total Images
View All ImagesDataset Split
Train Set 80%
66Images
Valid Set 9%
7Images
Test Set 11%
9Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 1
90° Rotate: Clockwise