Dataset Versions
Versions
2024-04-23 7:05pm
v32
· 7 months ago
2024-04-23 4:55pm
v31
· 7 months ago
2024-04-23 4:44pm
v30
· 7 months ago
2024-02-26 8:36pm
v29
· 9 months ago
2024-02-26 8:23pm
v28
· 9 months ago
2024-02-26 8:48am
v27
· 9 months ago
2024-02-23 11:15am
v26
· 9 months ago
2024-02-23 9:12am
v25
· 9 months ago
2024-02-23 8:37am
v24
· 9 months ago
2024-02-22 6:22pm
v23
· 9 months ago
2024-02-22 12:19pm
v22
· 9 months ago
2024-02-22 12:13pm
v21
· 9 months ago
2024-02-21 3:09pm
v20
· 9 months ago
2024-02-21 12:51pm
v19
· 9 months ago
2024-02-21 12:51pm
v18
· 9 months ago
2023-12-21 6:36am
v17
· a year ago
2023-12-20 8:36am
v16
· a year ago
2023-12-19 9:37pm
v15
· a year ago
2023-12-14 12:16pm
v14
· a year ago
2023-12-14 8:50am
v13
· a year ago
2023-12-13 10:25am
v12
· a year ago
2023-12-13 8:49am
v11
· a year ago
2023-12-11 1:26pm
v10
· a year ago
2023-12-11 10:35am
v9
· a year ago
2023-12-08 10:18am
v8
· a year ago
2023-12-08 10:13am
v7
· a year ago
2023-12-08 9:57am
v6
· a year ago
2023-11-22 10:10am
v5
· a year ago
2023-11-22 10:08am
v4
· a year ago
2023-11-22 10:04am
v3
· a year ago
2023-11-22 10:04am
v2
· a year ago
2023-11-15 11:39am
v1
· a year ago
v6
2023-12-08 9:57am
Generated on Dec 8, 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.
2962 Total Images
View All Images
Dataset Split
Train Set 87%
2586Images
Valid Set 9%
266Images
Test Set 4%
110Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Crop: 17% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 37% of images
Bounding Box: Blur: Up to 8.5px
Bounding Box: Noise: Up to 10% of pixels