fruit classification Image Dataset
Versions
2023-07-12 3:03pm
v9
Jul 12, 2023
2023-07-12 3:03pm
v8
Jul 12, 2023
2023-07-12 3:03pm
v7
Jul 12, 2023
2023-07-12 3:03pm
v6
Jul 12, 2023
2023-07-12 3:03pm
v5
Jul 12, 2023
2023-07-12 3:03pm
v4
Jul 12, 2023
2023-07-12 3:03pm
v3
Jul 12, 2023
2023-07-12 2:49pm
v2
Jul 12, 2023
2022-08-21 4:55pm
v1
Aug 21, 2022
v1
2022-08-21 4:55pm
Generated on Aug 21, 2022
Popular Download Formats
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.
975 Total Images
View All Images
Dataset Split
Train Set 88%
855Images
Valid Set 8%
76Images
Test Set 5%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: Noise: Up to 5% of pixels
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