Dataset Versions
Versions
2024-11-28 5:16pm
v44
· a month ago
2023-04-06 10:36am
v43
· 2 years ago
2023-04-05 6:12pm
v42
· 2 years ago
2023-03-30 11:25pm
v40
· 2 years ago
2023-03-30 8:11pm
v39
· 2 years ago
2023-03-29 11:26pm
v38
· 2 years ago
2023-03-29 11:22pm
v37
· 2 years ago
2023-01-03 3:01pm
v35
· 2 years ago
2023-01-03 2:29pm
v33
· 2 years ago
2023-01-03 2:22pm
v32
· 2 years ago
2022-12-30 8:45pm
v31
· 2 years ago
2022-12-15 9:26am
v30
· 2 years ago
2022-12-11 10:00am
v29
· 2 years ago
2022-11-29 9:53am
v27
· 2 years ago
2022-11-23 8:43pm
v20
· 2 years ago
2022-11-19 3:56pm
v19
· 2 years ago
2022-11-05 10:38am
v16
· 2 years ago
2022-10-31 10:22pm
v15
· 2 years ago
2022-10-25 5:43pm
v14
· 2 years ago
2022-10-18 4:38pm
v13
· 2 years ago
2022-10-18 4:06pm
v12
· 2 years ago
2022-10-12 9:26pm
v11
· 2 years ago
2022-10-09 11:21pm
v10
· 2 years ago
2022-10-09 7:05pm
v9
· 2 years ago
2022-09-29 3:11pm
v8
· 2 years ago
2022-09-25 9:14am
v7
· 2 years ago
2022-09-24 9:18pm
v6
· 2 years ago
2022-09-22 5:59pm
v5
· 2 years ago
2022-09-21 4:10pm
v4
· 2 years ago
2022-09-20 10:28am
v3
· 2 years ago
2022-09-19 10:06pm
v2
· 2 years ago
v44
2024-11-28 5:16pm
Generated on Nov 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.
9296 Total Images
View All Images
Dataset Split
Train Set 91%
8496Images
Valid Set 3%
288Images
Test Set 6%
512Images
Preprocessing
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Rotation: Between -13° and +13°
Exposure: Between -9% and +9%
Blur: Up to 2.4px