Versions
Versions
2025-03-23 11:22pm
v8
271
Fast
detect-and-classify-object-detection-rhb5h/2
2025-03-23 5:46pm
v7
271
Fast
detect-and-classify-object-detection-rhb5h/2
2025-03-23 5:09pm
v6
271
Fast
detect-and-classify-object-detection-rhb5h/4
2025-03-23 1:09pm
v5
151
Fast
detect-and-classify-object-detection-rhb5h/2
2025-03-23 12:53pm
v4
151
Fast
COCOn
2025-03-23 10:31am
v3
51
Fast
COCOn
2025-03-22 6:23pm
v2
51
Fast
COCOn
2025-03-22 6:11pm
v1
51
640x640
Stretch to
v8
2025-03-23 11:22pm
Generated on Mar 24, 2025
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.
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271 Total Images
View All Images
Dataset Split
Train Set 66%
180Images
Valid Set 18%
48Images
Test Set 16%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -5° and +5°
Noise: Up to 1.37% of pixels