Dataset Versions
Versions
2024-03-03 9:49pm
v29
· 10 months ago
2024-03-03 8:21pm
v28
· 10 months ago
2024-03-02 8:21pm
v27
· 10 months ago
2024-03-01 5:51pm
v26
· 10 months ago
2024-02-29 8:29pm
v25
· 10 months ago
2024-02-28 2:56pm
v24
· 10 months ago
2024-02-28 2:51pm
v23
· 10 months ago
2024-02-27 3:33pm
v22
· 10 months ago
2024-02-23 5:52pm
v21
· 10 months ago
2024-02-22 9:18pm
v20
· 10 months ago
2024-02-21 3:28pm
v19
· 10 months ago
2024-02-20 6:45pm
v18
· 10 months ago
2024-02-19 5:58pm
v17
· 10 months ago
2024-02-08 11:23pm
v16
· a year ago
2024-02-07 1:45pm
v15
· a year ago
2024-02-07 1:02pm
v14
· a year ago
2024-02-06 4:18pm
v13
· a year ago
2024-02-05 6:09pm
v12
· a year ago
2024-02-03 9:17pm
v11
· a year ago
2024-02-03 8:56pm
v10
· a year ago
2024-01-12 5:22pm
v9
· a year ago
2024-01-11 9:12pm
v8
· a year ago
2024-01-10 11:30pm
v7
· a year ago
2024-01-08 6:10pm
v6
· a year ago
2024-01-08 5:54pm
v5
· a year ago
2024-01-02 4:20pm
v4
· a year ago
2023-12-28 8:10pm
v3
· a year ago
2023-12-28 7:56pm
v2
· a year ago
2023-12-27 9:00pm
v1
· a year ago
v29
2024-03-03 9:49pm
Generated on Mar 3, 2024
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
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38 Total Images
View All Images
Dataset Split
Train Set 8%
3Images
Valid Set 92%
35Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
No augmentations were applied.