Dataset Versions
Versions
2024-05-13 12:49pm
v29
· 6 months ago
2024-03-27 11:12am
v28
· 8 months ago
2024-03-26 10:40am
v27
· 8 months ago
2024-03-25 4:44pm
v26
· 8 months ago
2024-03-10 2:36pm
v25
· 9 months ago
2024-03-10 2:31pm
v24
· 9 months ago
2024-03-07 1:20pm
v23
· 9 months ago
2024-03-06 9:28am
v22
· 9 months ago
2024-03-05 5:38pm
v21
· 9 months ago
2024-02-25 7:09pm
v20
· 9 months ago
2024-02-25 6:11pm
v19
· 9 months ago
2024-02-25 4:56pm
v18
· 9 months ago
2024-02-25 4:48pm
v17
· 9 months ago
2024-02-25 4:47pm
v16
· 9 months ago
2024-02-23 3:23pm
v15
· 9 months ago
2024-02-23 2:58pm
v14
· 9 months ago
2024-02-23 1:11pm
v13
· 9 months ago
2024-02-22 1:53pm
v12
· 9 months ago
2024-02-22 1:47pm
v11
· 9 months ago
2024-02-13 9:36pm
v10
· 9 months ago
2024-01-29 11:08am
v9
· 10 months ago
2024-01-26 3:02pm
v8
· 10 months ago
2024-01-24 5:03pm
v7
· 10 months ago
2023-09-28 12:15pm
v6
· a year ago
2023-09-18 6:44pm
v5
· a year ago
2023-09-18 2:22pm
v4
· a year ago
2023-09-06 3:03pm
v3
· a year ago
2023-09-06 2:18pm
v2
· a year ago
2023-09-02 2:31pm
v1
· a year ago
v3
2023-09-06 3:03pm
Generated on Sep 6, 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.
39 Total Images
View All ImagesDataset Split
Train Set 74%
29Images
Valid Set 15%
6Images
Test Set 10%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.