Versions
Versions
2025-03-30 11:07pm
v9
7747
400x600
Fit within
2025-03-09 12:30am
v8
7747
Base
2025-03-08 11:54pm
v7
7747
Accurate
fruitspector/5
2025-03-02 12:33am
v5
3671
Accurate
2025-03-01 10:37pm
v4
3671
Accurate
2025-03-01 7:48pm
v3
3671
Accurate
COCOs
2025-03-01 12:26pm
v2
3671
Accurate
COCOs
2025-03-01 6:50am
v1
503
Fast
COCOn
v5
2025-03-02 12:33am
Generated on Mar 1, 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.
Other Formats
Choose another format.
3671 Total Images
View All Images
Dataset Split
Train Set 96%
3520Images
Valid Set 3%
100Images
Test Set 1%
51Images
Preprocessing
Resize: Fit within 400x600
Augmentations
Outputs per training example: 10
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±11° Vertical
Grayscale: Apply to 1% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -8% and +8%
Blur: Up to 1.9px
Noise: Up to 0.12% of pixels