Dataset Versions
Versions
2023-11-28 6:29am
v29
· a year ago
2023-11-28 12:19am
v28
· a year ago
2023-11-27 8:10pm
v27
· a year ago
2023-11-24 11:18am
v26
· a year ago
2023-11-23 4:34pm
v25
· a year ago
2023-11-14 1:19pm
v24
· a year ago
2023-11-14 10:35am
v23
· a year ago
2023-11-14 10:16am
v22
· a year ago
2023-11-14 10:15am
v21
· a year ago
2023-11-14 9:35am
v20
· a year ago
2023-11-14 9:21am
v19
· a year ago
2023-11-14 1:56am
v18
· a year ago
2023-11-11 9:04pm
v17
· a year ago
2023-11-11 8:55pm
v16
· a year ago
2023-11-11 8:52pm
v15
· a year ago
2023-11-11 6:35pm
v14
· a year ago
2023-11-11 6:07pm
v13
· a year ago
2023-11-11 5:55pm
v12
· a year ago
2023-11-11 6:51am
v11
· a year ago
2023-11-11 4:33am
v10
· a year ago
2023-11-09 11:36pm
v9
· a year ago
2023-11-09 11:36pm
v8
· a year ago
2023-11-09 11:02pm
v7
· a year ago
2023-11-09 10:31pm
v6
· a year ago
2023-11-09 10:26pm
v5
· a year ago
2023-11-09 8:43pm
v4
· a year ago
2023-11-09 6:08pm
v3
· a year ago
2023-11-09 3:45pm
v2
· a year ago
2023-11-09 12:23pm
v1
· a year ago
v9
2023-11-09 11:36pm
Generated on Nov 9, 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.
32 Total Images
View All ImagesDataset Split
Train Set 94%
30Images
Valid Set 3%
1Images
Test Set 3%
1Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.