Dataset Versions
Versions
2024-09-17 11:19am
v30
· 2 months ago
2024-09-15 4:46pm
v29
· 2 months ago
2024-09-15 4:19pm
v28
· 2 months ago
2024-08-29 12:14pm
v27
· 3 months ago
2024-08-27 2:07pm
v26
· 3 months ago
2024-08-27 1:43pm
v25
· 3 months ago
2024-08-27 9:09am
v24
· 3 months ago
2024-08-24 3:09pm
v23
· 3 months ago
2024-08-22 8:04pm
v22
· 3 months ago
2024-08-21 5:49pm
v21
· 3 months ago
2024-08-20 8:02pm
v20
· 3 months ago
2024-08-20 7:38pm
v19
· 3 months ago
2024-08-20 6:28pm
v18
· 3 months ago
2024-08-19 11:52am
v17
· 3 months ago
2024-08-18 8:42pm
v16
· 3 months ago
2024-08-18 7:47pm
v15
· 3 months ago
2024-08-17 7:10pm
v14
· 3 months ago
2024-08-17 1:17pm
v13
· 3 months ago
2024-08-17 10:16am
v12
· 3 months ago
2024-08-17 9:58am
v11
· 3 months ago
2024-08-17 9:30am
v10
· 3 months ago
2024-08-16 6:49pm
v9
· 3 months ago
2024-08-16 6:16pm
v8
· 3 months ago
2024-08-16 6:05pm
v7
· 3 months ago
2024-08-16 6:04pm
v6
· 3 months ago
2024-08-15 7:47pm
v5
· 3 months ago
2024-08-15 7:34pm
v4
· 3 months ago
2024-08-15 2:50pm
v3
· 3 months ago
2024-08-15 2:01pm
v2
· 3 months ago
2024-08-15 12:48pm
v1
· 3 months ago
v25
2024-08-27 1:43pm
Generated on Aug 27, 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.
4443 Total Images
View All Images
Dataset Split
Train Set 91%
4050Images
Valid Set 7%
297Images
Test Set 2%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels