Dataset Versions
Versions
2023-03-28 1:51am
v27
· 2 years ago
2023-03-28 1:48am
v26
· 2 years ago
2023-03-27 5:32pm
v25
· 2 years ago
2023-03-27 4:38pm
v24
· 2 years ago
2023-03-27 7:08am
v23
· 2 years ago
2023-03-27 12:25am
v22
· 2 years ago
2023-03-27 12:24am
v21
· 2 years ago
2023-03-27 12:15am
v20
· 2 years ago
2023-03-18 7:35pm
v19
· 2 years ago
2023-03-18 7:05pm
v18
· 2 years ago
2022-10-14 4:33pm
v17
· 2 years ago
2022-10-14 12:37pm
v16
· 2 years ago
2022-09-30 9:02am
v15
· 2 years ago
2022-07-09 1:51pm
v14
· 2 years ago
2022-07-08 4:06pm
v13
· 2 years ago
2022-07-08 3:47pm
v12
· 2 years ago
2022-07-08 10:19am
v11
· 2 years ago
2022-07-07 11:34pm
v10
· 2 years ago
2022-07-07 7:01pm
v9
· 2 years ago
final1
v8
· 2 years ago
v7
v7
· 2 years ago
2022-06-19 5:21pm
v6
· 2 years ago
2022-06-19 4:55pm
v5
· 2 years ago
v4
v4
· 2 years ago
v3
v3
· 2 years ago
2022-06-18 1:40am
v2
· 2 years ago
2022-06-11 4:11pm
v1
· 2 years ago
v27
2023-03-28 1:51am
Generated on Mar 27, 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.
1176 Total Images
View All ImagesDataset Split
Train Set 83%
979Images
Valid Set 8%
98Images
Test Set 8%
99Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
No augmentations were applied.