Dataset Versions
Versions
2024-11-13 2:45am
v29
· 14 days ago
2024-05-31 4:15pm
v28
· 6 months ago
2024-05-25 10:11am
v27
· 6 months ago
2024-05-23 9:26pm
v26
· 6 months ago
2024-05-23 9:23pm
v25
· 6 months ago
2024-05-22 4:14pm
v24
· 6 months ago
2024-03-19 11:00am
v23
· 8 months ago
2024-03-14 5:30pm
v22
· 8 months ago
2024-03-13 11:05am
v21
· 8 months ago
2024-02-17 6:19pm
v20
· 9 months ago
2023-12-15 3:55pm
v19
· a year ago
2023-12-15 11:32am
v18
· a year ago
2023-12-14 10:23pm
v17
· a year ago
2023-12-14 10:20pm
v16
· a year ago
2023-12-14 8:52pm
v15
· a year ago
2023-12-12 7:20pm
v14
· a year ago
2023-12-11 9:23pm
v13
· a year ago
2023-12-11 9:13pm
v12
· a year ago
2023-12-11 6:33pm
v11
· a year ago
2023-12-11 4:12pm
v10
· a year ago
2023-12-10 5:07pm
v9
· a year ago
2023-12-08 4:33pm
v8
· a year ago
2023-12-08 4:25pm
v7
· a year ago
2023-12-08 2:29pm
v6
· a year ago
2023-12-05 6:10pm
v5
· a year ago
2023-12-05 5:40pm
v4
· a year ago
2023-12-05 5:22pm
v3
· a year ago
2023-12-04 9:18pm
v2
· a year ago
2023-12-04 8:35pm
v1
· a year ago
v9
2023-12-10 5:07pm
Generated on Dec 10, 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.
198 Total Images
View All ImagesDataset Split
Train Set 81%
160Images
Valid Set 10%
19Images
Test Set 10%
19Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.
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