Dataset Versions
Versions
2024-08-07 3:56pm
v29
· 4 months ago
2024-08-07 3:46pm
v28
· 4 months ago
2024-08-07 3:43pm
v27
· 4 months ago
2024-08-07 3:35pm
v26
· 4 months ago
2024-06-15 3:19pm
v25
· 6 months ago
2024-06-12 4:27pm
v24
· 6 months ago
2024-06-11 1:38pm
v23
· 6 months ago
2024-06-11 12:05pm
v22
· 6 months ago
2024-06-11 9:52am
v21
· 6 months ago
2024-06-11 9:47am
v20
· 6 months ago
2024-05-23 1:06pm
v19
· 6 months ago
2024-05-18 11:42am
v18
· 7 months ago
2024-05-18 11:15am
v17
· 7 months ago
2024-05-18 10:50am
v16
· 7 months ago
2024-05-18 10:49am
v15
· 7 months ago
2024-05-17 9:52pm
v14
· 7 months ago
2024-05-16 7:36pm
v13
· 7 months ago
2024-05-16 7:35pm
v12
· 7 months ago
2024-05-16 1:50pm
v11
· 7 months ago
2024-05-14 4:17pm
v10
· 7 months ago
2024-05-10 4:55pm
v9
· 7 months ago
2024-05-10 3:32pm
v8
· 7 months ago
2024-05-08 3:41pm
v7
· 7 months ago
2024-05-08 12:15pm
v6
· 7 months ago
2024-05-06 9:33pm
v5
· 7 months ago
2024-05-05 9:57pm
v4
· 7 months ago
2024-05-01 11:30pm
v3
· 7 months ago
2024-04-30 11:23am
v2
· 7 months ago
2024-04-29 12:21am
v1
· 7 months ago
v1
2024-04-29 12:21am
Generated on Apr 28, 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
Choose another format.
362 Total Images
View All ImagesDataset Split
Train Set 88%
317Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±9° Horizontal, ±5° Vertical