Dataset Versions
Versions
actual map 2
v11
· a month ago
actual amp 2 augment
v9
· a month ago
actual map set with augment
v8
· a month ago
Good Bounding Box -Small- no extra just more dataset
v7
· 2 months ago
Good Bounding Box -Small- But with augmentation
v6
· 2 months ago
Good Bounding Box -Small-
v5
· 2 months ago
Medium Bounding Box Ori
v4
· 2 months ago
Medium Bounding Box
v3
· 2 months ago
Enlarged Bounding Box
v2
· 2 months ago
Wrong Naming Convention
v1
· 2 months ago
v6
Good Bounding Box -Small- But with augmentation
Generated on Sep 18, 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.
8922 Total Images
View All Images
Dataset Split
Train Set 83%
7366Images
Valid Set 11%
1026Images
Test Set 6%
530Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Brightness: Between -15% and +15%